AWS.Tools.MachineLearning.dll-Help.xml
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<helpItems schema="maml"><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Remove-MLModel</name><description><para>Calls the Amazon Machine Learning DeleteMLModel API operation.</para></description><verb>Remove</verb><noun>MLModel</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Assigns the <code>DELETED</code> status to an <code>MLModel</code>, rendering it unusable.
After using the <code>DeleteMLModel</code> operation, you can use the <code>GetMLModel</code> operation to verify that the status of the <code>MLModel</code> changed to DELETED. <b>Caution:</b> The result of the <code>DeleteMLModel</code> operation is irreversible. </para></description><syntax><syntaxItem><name>Remove-MLModel</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>A user-supplied ID that uniquely identifies the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'MLModelId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>A user-supplied ID that uniquely identifies the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'MLModelId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.DeleteMLModelResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.DeleteMLModelResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Remove-MLModel.html&tocid=Remove-MLModel</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Add-MLResourceTag</name><description><para>Calls the Amazon Machine Learning AddTags API operation.</para></description><verb>Add</verb><noun>MLResourceTag</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object, <code>AddTags</code> updates the tag&#39;s value. </para></description><syntax><syntaxItem><name>Add-MLResourceTag</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>ResourceId</name><description><para>The ID of the ML object to tag. For example, <code>exampleModelId</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ResourceType</name><description><para>The type of the ML object to tag. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.TaggableResourceType</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Tag</name><description><para>The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.Model.Tag[]</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.AddTagsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.AddTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the ResourceId parameter. The -PassThru parameter is deprecated, use -Select '^ResourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the ResourceId parameter. The -PassThru parameter is deprecated, use -Select '^ResourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>ResourceId</name><description><para>The ID of the ML object to tag. For example, <code>exampleModelId</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ResourceType</name><description><para>The type of the ML object to tag. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.TaggableResourceType</parameterValue><type><name>Amazon.MachineLearning.TaggableResourceType</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.AddTagsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.AddTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Tag</name><description><para>The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.Model.Tag[]</parameterValue><type><name>Amazon.MachineLearning.Model.Tag[]</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.AddTagsResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.AddTagsResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Add-MLResourceTag.html&tocid=Add-MLResourceTag</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Remove-MLBatchPrediction</name><description><para>Calls the Amazon Machine Learning DeleteBatchPrediction API operation.</para></description><verb>Remove</verb><noun>MLBatchPrediction</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Assigns the DELETED status to a <code>BatchPrediction</code>, rendering it unusable. After using the <code>DeleteBatchPrediction</code> operation, you can use the <a>GetBatchPrediction</a> operation to verify that the status of the <code>BatchPrediction</code> changed to DELETED. <b>Caution:</b> The result of the <code>DeleteBatchPrediction</code> operation is irreversible. </para></description><syntax><syntaxItem><name>Remove-MLBatchPrediction</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>BatchPredictionId</name><description><para>A user-supplied ID that uniquely identifies the <code>BatchPrediction</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'BatchPredictionId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the BatchPredictionId parameter. The -PassThru parameter is deprecated, use -Select '^BatchPredictionId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>BatchPredictionId</name><description><para>A user-supplied ID that uniquely identifies the <code>BatchPrediction</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the BatchPredictionId parameter. The -PassThru parameter is deprecated, use -Select '^BatchPredictionId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'BatchPredictionId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.DeleteBatchPredictionResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.DeleteBatchPredictionResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Remove-MLBatchPrediction.html&tocid=Remove-MLBatchPrediction</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Update-MLBatchPrediction</name><description><para>Calls the Amazon Machine Learning UpdateBatchPrediction API operation.</para></description><verb>Update</verb><noun>MLBatchPrediction</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Updates the <code>BatchPredictionName</code> of a <code>BatchPrediction</code>. You can use the <code>GetBatchPrediction</code> operation to view the contents of the updated data element. </para></description><syntax><syntaxItem><name>Update-MLBatchPrediction</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>BatchPredictionName</name><description><para>A new user-supplied name or description of the <code>BatchPrediction</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionId</name><description><para>The ID assigned to the <code>BatchPrediction</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'BatchPredictionId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the BatchPredictionName parameter. The -PassThru parameter is deprecated, use -Select '^BatchPredictionName' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionId</name><description><para>The ID assigned to the <code>BatchPrediction</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>BatchPredictionName</name><description><para>A new user-supplied name or description of the <code>BatchPrediction</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the BatchPredictionName parameter. The -PassThru parameter is deprecated, use -Select '^BatchPredictionName' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'BatchPredictionId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.UpdateBatchPredictionResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.UpdateBatchPredictionResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Update-MLBatchPrediction.html&tocid=Update-MLBatchPrediction</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLDataSourceFromRDS</name><description><para>Calls the Amazon Machine Learning CreateDataSourceFromRDS API operation.</para></description><verb>New</verb><noun>MLDataSourceFromRDS</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Creates a <code>DataSource</code> object from an <a href="http://aws.amazon.com/rds/"> Amazon Relational Database Service</a> (Amazon RDS). A <code>DataSource</code> references data that can be used to perform <code>CreateMLModel</code>, <code>CreateEvaluation</code>, or <code>CreateBatchPrediction</code> operations. <code>CreateDataSourceFromRDS</code> is an asynchronous operation. In response to <code>CreateDataSourceFromRDS</code>, Amazon Machine Learning (Amazon ML) immediately returns and sets the <code>DataSource</code> status to <code>PENDING</code>. After the <code>DataSource</code> is created and ready for use, Amazon ML sets the <code>Status</code> parameter to <code>COMPLETED</code>. <code>DataSource</code> in the <code>COMPLETED</code> or <code>PENDING</code> state can be used only to perform <code>&gt;CreateMLModel</code>&gt;, <code>CreateEvaluation</code>, or <code>CreateBatchPrediction</code> operations. If Amazon ML cannot accept the input source, it sets the <code>Status</code> parameter to <code>FAILED</code> and includes an error message in the <code>Message</code> attribute of the <code>GetDataSource</code> operation response. </para></description><syntax><syntaxItem><name>New-MLDataSourceFromRDS</name><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ComputeStatistic</name><description><para>The compute statistics for a <code>DataSource</code>. The statistics are generated from the observation data referenced by a <code>DataSource</code>. Amazon ML uses the statistics internally during <code>MLModel</code> training. This parameter must be set to <code>true</code> if the <code />DataSource<code /> needs to be used for <code>MLModel</code> training. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_DatabaseName</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_DataRearrangement</name><description><para>A JSON string that represents the splitting and rearrangement processing to be applied to a <code>DataSource</code>. If the <code>DataRearrangement</code> parameter is not provided, all of the input data is used to create the <code>Datasource</code>. There are multiple parameters that control what data is used to create a datasource: - <b><code>percentBegin</code></b> Use <code>percentBegin</code> to indicate the beginning of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>percentEnd</code></b> Use <code>percentEnd</code> to indicate the end of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>complement</code></b> The <code>complement</code> parameter instructs Amazon ML to use the data that is not included in the range of <code>percentBegin</code> to <code>percentEnd</code> to create a datasource. The <code>complement</code> parameter is useful if you need to create complementary datasources for training and evaluation. To create a complementary datasource, use the same values for <code>percentBegin</code> and <code>percentEnd</code>, along with the <code>complement</code> parameter. For example, the following two datasources do not share any data, and can be used to train and evaluate a model. The first datasource has 25 percent of the data, and the second one has 75 percent of the data. Datasource for evaluation: <code>{"splitting":{"percentBegin":0, "percentEnd":25}}</code> Datasource for training: <code>{"splitting":{"percentBegin":0, "percentEnd":25, "complement":"true"}}</code> - <b><code>strategy</code></b> To change how Amazon ML splits the data for a datasource, use the <code>strategy</code> parameter. The default value for the <code>strategy</code> parameter is <code>sequential</code>, meaning that Amazon ML takes all of the data records between the <code>percentBegin</code> and <code>percentEnd</code> parameters for the datasource, in the order that the records appear in the input data. The following two <code>DataRearrangement</code> lines are examples of sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential", "complement":"true"}}</code> To randomly split the input data into the proportions indicated by the percentBegin and percentEnd parameters, set the <code>strategy</code> parameter to <code>random</code> and provide a string that is used as the seed value for the random data splitting (for example, you can use the S3 path to your data as the random seed string). If you choose the random split strategy, Amazon ML assigns each row of data a pseudo-random number between 0 and 100, and then selects the rows that have an assigned number between <code>percentBegin</code> and <code>percentEnd</code>. Pseudo-random numbers are assigned using both the input seed string value and the byte offset as a seed, so changing the data results in a different split. Any existing ordering is preserved. The random splitting strategy ensures that variables in the training and evaluation data are distributed similarly. It is useful in the cases where the input data may have an implicit sort order, which would otherwise result in training and evaluation datasources containing non-similar data records. The following two <code>DataRearrangement</code> lines are examples of non-sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv", "complement":"true"}}</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_DataSchema</name><description><para>A JSON string that represents the schema for an Amazon RDS <code>DataSource</code>. The <code>DataSchema</code> defines the structure of the observation data in the data file(s) referenced in the <code>DataSource</code>. A <code>DataSchema</code> is not required if you specify a <code>DataSchemaUri</code> Define your <code>DataSchema</code> as a series of key-value pairs. <code>attributes</code> and <code>excludedVariableNames</code> have an array of key-value pairs for their value. Use the following format to define your <code>DataSchema</code>. { "version": "1.0", "recordAnnotationFieldName": "F1", "recordWeightFieldName": "F2", "targetFieldName": "F3", "dataFormat": "CSV", "dataFileContainsHeader": true, "attributes": [ { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], "excludedVariableNames": [ "F6" ] } </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_DataSchemaUri</name><description><para>The Amazon S3 location of the <code>DataSchema</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>A user-supplied ID that uniquely identifies the <code>DataSource</code>. Typically, an Amazon Resource Number (ARN) becomes the ID for a <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceName</name><description><para>A user-supplied name or description of the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_InstanceIdentifier</name><description><para>The ID of an RDS DB instance. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Password</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_ResourceRole</name><description><para>The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task. For more information, see <a href="https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html">Role templates</a> for data pipelines. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RoleARN</name><description><para>The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the <code>SelectSqlQuery</code> query from Amazon RDS to Amazon S3. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_S3StagingLocation</name><description><para>The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using <code>SelectSqlQuery</code> is stored in this location. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_SecurityGroupId</name><description><para>The security group IDs to be used to access a VPC-based RDS DB instance. Ensure that there are appropriate ingress rules set up to allow access to the RDS DB instance. This attribute is used by Data Pipeline to carry out the copy operation from Amazon RDS to an Amazon S3 task. </para></description><parameterValue required="true" variableLength="false">System.String[]</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_SelectSqlQuery</name><description><para>The query that is used to retrieve the observation data for the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_ServiceRole</name><description><para>The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see <a href="https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html">Role templates</a> for data pipelines. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_SubnetId</name><description><para>The subnet ID to be used to access a VPC-based RDS DB instance. This attribute is used by Data Pipeline to carry out the copy task from Amazon RDS to Amazon S3. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Username</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateDataSourceFromRDSResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateDataSourceFromRDSResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ComputeStatistic</name><description><para>The compute statistics for a <code>DataSource</code>. The statistics are generated from the observation data referenced by a <code>DataSource</code>. Amazon ML uses the statistics internally during <code>MLModel</code> training. This parameter must be set to <code>true</code> if the <code />DataSource<code /> needs to be used for <code>MLModel</code> training. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue><type><name>System.Boolean</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Password</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Username</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_DatabaseName</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_InstanceIdentifier</name><description><para>The ID of an RDS DB instance. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>A user-supplied ID that uniquely identifies the <code>DataSource</code>. Typically, an Amazon Resource Number (ARN) becomes the ID for a <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceName</name><description><para>A user-supplied name or description of the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_DataRearrangement</name><description><para>A JSON string that represents the splitting and rearrangement processing to be applied to a <code>DataSource</code>. If the <code>DataRearrangement</code> parameter is not provided, all of the input data is used to create the <code>Datasource</code>. There are multiple parameters that control what data is used to create a datasource: - <b><code>percentBegin</code></b> Use <code>percentBegin</code> to indicate the beginning of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>percentEnd</code></b> Use <code>percentEnd</code> to indicate the end of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>complement</code></b> The <code>complement</code> parameter instructs Amazon ML to use the data that is not included in the range of <code>percentBegin</code> to <code>percentEnd</code> to create a datasource. The <code>complement</code> parameter is useful if you need to create complementary datasources for training and evaluation. To create a complementary datasource, use the same values for <code>percentBegin</code> and <code>percentEnd</code>, along with the <code>complement</code> parameter. For example, the following two datasources do not share any data, and can be used to train and evaluate a model. The first datasource has 25 percent of the data, and the second one has 75 percent of the data. Datasource for evaluation: <code>{"splitting":{"percentBegin":0, "percentEnd":25}}</code> Datasource for training: <code>{"splitting":{"percentBegin":0, "percentEnd":25, "complement":"true"}}</code> - <b><code>strategy</code></b> To change how Amazon ML splits the data for a datasource, use the <code>strategy</code> parameter. The default value for the <code>strategy</code> parameter is <code>sequential</code>, meaning that Amazon ML takes all of the data records between the <code>percentBegin</code> and <code>percentEnd</code> parameters for the datasource, in the order that the records appear in the input data. The following two <code>DataRearrangement</code> lines are examples of sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential", "complement":"true"}}</code> To randomly split the input data into the proportions indicated by the percentBegin and percentEnd parameters, set the <code>strategy</code> parameter to <code>random</code> and provide a string that is used as the seed value for the random data splitting (for example, you can use the S3 path to your data as the random seed string). If you choose the random split strategy, Amazon ML assigns each row of data a pseudo-random number between 0 and 100, and then selects the rows that have an assigned number between <code>percentBegin</code> and <code>percentEnd</code>. Pseudo-random numbers are assigned using both the input seed string value and the byte offset as a seed, so changing the data results in a different split. Any existing ordering is preserved. The random splitting strategy ensures that variables in the training and evaluation data are distributed similarly. It is useful in the cases where the input data may have an implicit sort order, which would otherwise result in training and evaluation datasources containing non-similar data records. The following two <code>DataRearrangement</code> lines are examples of non-sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv", "complement":"true"}}</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_DataSchema</name><description><para>A JSON string that represents the schema for an Amazon RDS <code>DataSource</code>. The <code>DataSchema</code> defines the structure of the observation data in the data file(s) referenced in the <code>DataSource</code>. A <code>DataSchema</code> is not required if you specify a <code>DataSchemaUri</code> Define your <code>DataSchema</code> as a series of key-value pairs. <code>attributes</code> and <code>excludedVariableNames</code> have an array of key-value pairs for their value. Use the following format to define your <code>DataSchema</code>. { "version": "1.0", "recordAnnotationFieldName": "F1", "recordWeightFieldName": "F2", "targetFieldName": "F3", "dataFormat": "CSV", "dataFileContainsHeader": true, "attributes": [ { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], "excludedVariableNames": [ "F6" ] } </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_DataSchemaUri</name><description><para>The Amazon S3 location of the <code>DataSchema</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_ResourceRole</name><description><para>The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task. For more information, see <a href="https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html">Role templates</a> for data pipelines. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_S3StagingLocation</name><description><para>The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using <code>SelectSqlQuery</code> is stored in this location. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_SecurityGroupId</name><description><para>The security group IDs to be used to access a VPC-based RDS DB instance. Ensure that there are appropriate ingress rules set up to allow access to the RDS DB instance. This attribute is used by Data Pipeline to carry out the copy operation from Amazon RDS to an Amazon S3 task. </para></description><parameterValue required="true" variableLength="false">System.String[]</parameterValue><type><name>System.String[]</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_SelectSqlQuery</name><description><para>The query that is used to retrieve the observation data for the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_ServiceRole</name><description><para>The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see <a href="https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html">Role templates</a> for data pipelines. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RDSData_SubnetId</name><description><para>The subnet ID to be used to access a VPC-based RDS DB instance. This attribute is used by Data Pipeline to carry out the copy task from Amazon RDS to Amazon S3. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RoleARN</name><description><para>The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the <code>SelectSqlQuery</code> query from Amazon RDS to Amazon S3. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateDataSourceFromRDSResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateDataSourceFromRDSResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.CreateDataSourceFromRDSResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.CreateDataSourceFromRDSResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLDataSourceFromRDS.html&tocid=New-MLDataSourceFromRDS</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLPrediction</name><description><para>Calls the Amazon Machine Learning Predict API operation.</para></description><verb>Get</verb><noun>MLPrediction</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Generates a prediction for the observation using the specified <code>ML Model</code>. <b>Note:</b> Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested. </para></description><syntax><syntaxItem><name>Get-MLPrediction</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>A unique identifier of the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PredictEndpoint</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Record</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.Collections.Hashtable</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Prediction'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.PredictResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.PredictResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>A unique identifier of the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PredictEndpoint</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Record</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.Collections.Hashtable</parameterValue><type><name>System.Collections.Hashtable</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Prediction'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.PredictResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.PredictResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.Prediction or Amazon.MachineLearning.Model.PredictResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.Prediction object. The service call response (type Amazon.MachineLearning.Model.PredictResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLPrediction.html&tocid=Get-MLPrediction</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLPrediction -ModelId ID -PredictEndpoint URL -Record @{"A" = "B"; "C" = "D";}</code><remarks><para>Description</para><para>-----------</para><para>Send a record to the realtime prediction endpoint URL for Model with id ID.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLEvaluationList</name><description><para>Calls the Amazon Machine Learning DescribeEvaluations API operation.</para></description><verb>Get</verb><noun>MLEvaluationList</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns a list of <code>DescribeEvaluations</code> that match the search criteria in the request.<br /><br />This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </para></description><syntax><syntaxItem><name>Get-MLEvaluationList</name><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variable to filter a list of <code>Evaluation</code> objects: - <code>CreatedAt</code> - Sets the search criteria to the <code>Evaluation</code> creation date. - <code>Status</code> - Sets the search criteria to the <code>Evaluation</code> status. - <code>Name</code> - Sets the search criteria to the contents of <code>Evaluation</code><b></b><code>Name</code>. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked an <code>Evaluation</code>. - <code>MLModelId</code> - Sets the search criteria to the <code>MLModel</code> that was evaluated. - <code>DataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used in <code>Evaluation</code>. - <code>DataUri</code> - Sets the search criteria to the data file(s) used in <code>Evaluation</code>. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.EvaluationFilterVariable</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, an <code>Evaluation</code> could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>Evaluation</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>Evaluation</code>. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para> The maximum number of <code>Evaluation</code> to include in the result. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>The ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeEvaluationsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeEvaluationsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variable to filter a list of <code>Evaluation</code> objects: - <code>CreatedAt</code> - Sets the search criteria to the <code>Evaluation</code> creation date. - <code>Status</code> - Sets the search criteria to the <code>Evaluation</code> status. - <code>Name</code> - Sets the search criteria to the contents of <code>Evaluation</code><b></b><code>Name</code>. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked an <code>Evaluation</code>. - <code>MLModelId</code> - Sets the search criteria to the <code>MLModel</code> that was evaluated. - <code>DataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used in <code>Evaluation</code>. - <code>DataUri</code> - Sets the search criteria to the data file(s) used in <code>Evaluation</code>. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.EvaluationFilterVariable</parameterValue><type><name>Amazon.MachineLearning.EvaluationFilterVariable</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para> The maximum number of <code>Evaluation</code> to include in the result. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue><type><name>System.Int32</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>Evaluation</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>The ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, an <code>Evaluation</code> could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>Evaluation</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeEvaluationsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeEvaluationsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>Evaluation</code>. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue><type><name>Amazon.MachineLearning.SortOrder</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.Evaluation or Amazon.MachineLearning.Model.DescribeEvaluationsResponse</name><uri /><description /></type><description><para>This cmdlet returns a collection of Amazon.MachineLearning.Model.Evaluation objects. The service call response (type Amazon.MachineLearning.Model.DescribeEvaluationsResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLEvaluationList.html&tocid=Get-MLEvaluationList</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLEvaluationList</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all Evaluation resources</para><para /><para /></remarks></example><example><title>-------------------------- EXAMPLE 2 --------------------------</title><code>Get-MLEvaluationList -FilterVariable Status -EQ COMPLETED</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all Evaulations with a status of COMPLETED.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLDataSource</name><description><para>Calls the Amazon Machine Learning GetDataSource API operation.</para></description><verb>Get</verb><noun>MLDataSource</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns a <code>DataSource</code> that includes metadata and data file information, as well as the current status of the <code>DataSource</code>. <code>GetDataSource</code> provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format. </para></description><syntax><syntaxItem><name>Get-MLDataSource</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>The ID assigned to the <code>DataSource</code> at creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>VerboseResponse</name><description><para>Specifies whether the <code>GetDataSource</code> operation should return <code>DataSourceSchema</code>. If true, <code>DataSourceSchema</code> is returned. If false, <code>DataSourceSchema</code> is not returned. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetDataSourceResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetDataSourceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>The ID assigned to the <code>DataSource</code> at creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetDataSourceResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetDataSourceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>VerboseResponse</name><description><para>Specifies whether the <code>GetDataSource</code> operation should return <code>DataSourceSchema</code>. If true, <code>DataSourceSchema</code> is returned. If false, <code>DataSourceSchema</code> is not returned. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue><type><name>System.Boolean</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.GetDataSourceResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.GetDataSourceResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLDataSource.html&tocid=Get-MLDataSource</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLDataSource -DataSourceId ID</code><remarks><para>Description</para><para>-----------</para><para>Returns the metadata, status, and data file information for a DataSource with the id ID</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLBatchPrediction</name><description><para>Calls the Amazon Machine Learning GetBatchPrediction API operation.</para></description><verb>Get</verb><noun>MLBatchPrediction</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns a <code>BatchPrediction</code> that includes detailed metadata, status, and data file information for a <code>Batch Prediction</code> request. </para></description><syntax><syntaxItem><name>Get-MLBatchPrediction</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>BatchPredictionId</name><description><para>An ID assigned to the <code>BatchPrediction</code> at creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the BatchPredictionId parameter. The -PassThru parameter is deprecated, use -Select '^BatchPredictionId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>BatchPredictionId</name><description><para>An ID assigned to the <code>BatchPrediction</code> at creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the BatchPredictionId parameter. The -PassThru parameter is deprecated, use -Select '^BatchPredictionId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.GetBatchPredictionResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.GetBatchPredictionResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLBatchPrediction.html&tocid=Get-MLBatchPrediction</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLBatchPrediction -BatchPredictionId ID</code><remarks><para>Description</para><para>-----------</para><para>Returns the detailed metadata for a batch prediction with id ID.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Remove-MLRealtimeEndpoint</name><description><para>Calls the Amazon Machine Learning DeleteRealtimeEndpoint API operation.</para></description><verb>Remove</verb><noun>MLRealtimeEndpoint</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Deletes a real time endpoint of an <code>MLModel</code>. </para></description><syntax><syntaxItem><name>Remove-MLRealtimeEndpoint</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Remove-MLRealtimeEndpoint.html&tocid=Remove-MLRealtimeEndpoint</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Remove-MLDataSource</name><description><para>Calls the Amazon Machine Learning DeleteDataSource API operation.</para></description><verb>Remove</verb><noun>MLDataSource</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Assigns the DELETED status to a <code>DataSource</code>, rendering it unusable. After using the <code>DeleteDataSource</code> operation, you can use the <a>GetDataSource</a> operation to verify that the status of the <code>DataSource</code> changed to DELETED. <b>Caution:</b> The results of the <code>DeleteDataSource</code> operation are irreversible. </para></description><syntax><syntaxItem><name>Remove-MLDataSource</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>DataSourceId</name><description><para>A user-supplied ID that uniquely identifies the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteDataSourceResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteDataSourceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the DataSourceId parameter. The -PassThru parameter is deprecated, use -Select '^DataSourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>DataSourceId</name><description><para>A user-supplied ID that uniquely identifies the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the DataSourceId parameter. The -PassThru parameter is deprecated, use -Select '^DataSourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteDataSourceResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteDataSourceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.DeleteDataSourceResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.DeleteDataSourceResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Remove-MLDataSource.html&tocid=Remove-MLDataSource</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLResourceTag</name><description><para>Calls the Amazon Machine Learning DescribeTags API operation.</para></description><verb>Get</verb><noun>MLResourceTag</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Describes one or more of the tags for your Amazon ML object. </para></description><syntax><syntaxItem><name>Get-MLResourceTag</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>ResourceId</name><description><para>The ID of the ML object. For example, <code>exampleModelId</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ResourceType</name><description><para>The type of the ML object. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.TaggableResourceType</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeTagsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the ResourceId parameter. The -PassThru parameter is deprecated, use -Select '^ResourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the ResourceId parameter. The -PassThru parameter is deprecated, use -Select '^ResourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>ResourceId</name><description><para>The ID of the ML object. For example, <code>exampleModelId</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ResourceType</name><description><para>The type of the ML object. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.TaggableResourceType</parameterValue><type><name>Amazon.MachineLearning.TaggableResourceType</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeTagsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.DescribeTagsResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.DescribeTagsResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLResourceTag.html&tocid=Get-MLResourceTag</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Update-MLDataSource</name><description><para>Calls the Amazon Machine Learning UpdateDataSource API operation.</para></description><verb>Update</verb><noun>MLDataSource</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Updates the <code>DataSourceName</code> of a <code>DataSource</code>. You can use the <code>GetDataSource</code> operation to view the contents of the updated data element. </para></description><syntax><syntaxItem><name>Update-MLDataSource</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>DataSourceName</name><description><para>A new user-supplied name or description of the <code>DataSource</code> that will replace the current description. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>The ID assigned to the <code>DataSource</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateDataSourceResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateDataSourceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the DataSourceName parameter. The -PassThru parameter is deprecated, use -Select '^DataSourceName' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>The ID assigned to the <code>DataSource</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>DataSourceName</name><description><para>A new user-supplied name or description of the <code>DataSource</code> that will replace the current description. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the DataSourceName parameter. The -PassThru parameter is deprecated, use -Select '^DataSourceName' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateDataSourceResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateDataSourceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.UpdateDataSourceResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.UpdateDataSourceResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Update-MLDataSource.html&tocid=Update-MLDataSource</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLModel</name><description><para>Calls the Amazon Machine Learning GetMLModel API operation.</para></description><verb>Get</verb><noun>MLModel</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns an <code>MLModel</code> that includes detailed metadata, data source information, and the current status of the <code>MLModel</code>. <code>GetMLModel</code> provides results in normal or verbose format. </para></description><syntax><syntaxItem><name>Get-MLModel</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> at creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>VerboseResponse</name><description><para>Specifies whether the <code>GetMLModel</code> operation should return <code>Recipe</code>. If true, <code>Recipe</code> is returned. If false, <code>Recipe</code> is not returned. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> at creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>VerboseResponse</name><description><para>Specifies whether the <code>GetMLModel</code> operation should return <code>Recipe</code>. If true, <code>Recipe</code> is returned. If false, <code>Recipe</code> is not returned. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue><type><name>System.Boolean</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.GetMLModelResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.GetMLModelResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLModel.html&tocid=Get-MLModel</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLModel -ModelId ID</code><remarks><para>Description</para><para>-----------</para><para>Returns the detail metadata, status, schema, and data file information for a MLModel with id ID.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Remove-MLEvaluation</name><description><para>Calls the Amazon Machine Learning DeleteEvaluation API operation.</para></description><verb>Remove</verb><noun>MLEvaluation</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Assigns the <code>DELETED</code> status to an <code>Evaluation</code>, rendering it unusable. After invoking the <code>DeleteEvaluation</code> operation, you can use the <code>GetEvaluation</code> operation to verify that the status of the <code>Evaluation</code> changed to <code>DELETED</code>. <b>Caution:</b> The results of the <code>DeleteEvaluation</code> operation are irreversible. </para></description><syntax><syntaxItem><name>Remove-MLEvaluation</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EvaluationId</name><description><para>A user-supplied ID that uniquely identifies the <code>Evaluation</code> to delete. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'EvaluationId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EvaluationId parameter. The -PassThru parameter is deprecated, use -Select '^EvaluationId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EvaluationId</name><description><para>A user-supplied ID that uniquely identifies the <code>Evaluation</code> to delete. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EvaluationId parameter. The -PassThru parameter is deprecated, use -Select '^EvaluationId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'EvaluationId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.DeleteEvaluationResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.DeleteEvaluationResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Remove-MLEvaluation.html&tocid=Remove-MLEvaluation</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Remove-MLResourceTag</name><description><para>Calls the Amazon Machine Learning DeleteTags API operation.</para></description><verb>Remove</verb><noun>MLResourceTag</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Deletes the specified tags associated with an ML object. After this operation is complete, you can&#39;t recover deleted tags. If you specify a tag that doesn&#39;t exist, Amazon ML ignores it. </para></description><syntax><syntaxItem><name>Remove-MLResourceTag</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>ResourceId</name><description><para>The ID of the tagged ML object. For example, <code>exampleModelId</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ResourceType</name><description><para>The type of the tagged ML object. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.TaggableResourceType</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TagKey</name><description><para>One or more tags to delete. </para></description><parameterValue required="true" variableLength="false">System.String[]</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteTagsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the ResourceId parameter. The -PassThru parameter is deprecated, use -Select '^ResourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the ResourceId parameter. The -PassThru parameter is deprecated, use -Select '^ResourceId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>ResourceId</name><description><para>The ID of the tagged ML object. For example, <code>exampleModelId</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ResourceType</name><description><para>The type of the tagged ML object. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.TaggableResourceType</parameterValue><type><name>Amazon.MachineLearning.TaggableResourceType</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DeleteTagsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DeleteTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TagKey</name><description><para>One or more tags to delete. </para></description><parameterValue required="true" variableLength="false">System.String[]</parameterValue><type><name>System.String[]</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.DeleteTagsResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.DeleteTagsResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Remove-MLResourceTag.html&tocid=Remove-MLResourceTag</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLDataSourceList</name><description><para>Calls the Amazon Machine Learning DescribeDataSources API operation.</para></description><verb>Get</verb><noun>MLDataSourceList</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns a list of <code>DataSource</code> that match the search criteria in the request.<br /><br />This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </para></description><syntax><syntaxItem><name>Get-MLDataSourceList</name><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variables to filter a list of <code>DataSource</code>: - <code>CreatedAt</code> - Sets the search criteria to <code>DataSource</code> creation dates. - <code>Status</code> - Sets the search criteria to <code>DataSource</code> statuses. - <code>Name</code> - Sets the search criteria to the contents of <code>DataSource</code><code>Name</code>. - <code>DataUri</code> - Sets the search criteria to the URI of data files used to create the <code>DataSource</code>. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>DataSource</code> creation. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.DataSourceFilterVariable</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, a <code>DataSource</code> could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>DataSource</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>DataSource</code>. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para> The maximum number of <code>DataSource</code> to include in the result. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>The ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeDataSourcesResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeDataSourcesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variables to filter a list of <code>DataSource</code>: - <code>CreatedAt</code> - Sets the search criteria to <code>DataSource</code> creation dates. - <code>Status</code> - Sets the search criteria to <code>DataSource</code> statuses. - <code>Name</code> - Sets the search criteria to the contents of <code>DataSource</code><code>Name</code>. - <code>DataUri</code> - Sets the search criteria to the URI of data files used to create the <code>DataSource</code>. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>DataSource</code> creation. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.DataSourceFilterVariable</parameterValue><type><name>Amazon.MachineLearning.DataSourceFilterVariable</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para> The maximum number of <code>DataSource</code> to include in the result. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue><type><name>System.Int32</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>DataSource</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>The ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, a <code>DataSource</code> could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>DataSource</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeDataSourcesResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeDataSourcesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>DataSource</code>. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue><type><name>Amazon.MachineLearning.SortOrder</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.DataSource or Amazon.MachineLearning.Model.DescribeDataSourcesResponse</name><uri /><description /></type><description><para>This cmdlet returns a collection of Amazon.MachineLearning.Model.DataSource objects. The service call response (type Amazon.MachineLearning.Model.DescribeDataSourcesResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLDataSourceList.html&tocid=Get-MLDataSourceList</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLDataSourceList</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all DataSources and their associated data records.</para><para /><para /></remarks></example><example><title>-------------------------- EXAMPLE 2 --------------------------</title><code>Get-MLDataDourceList -FilterVariable Status -EQ COMPLETED</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all DataSources with a status of COMPLETED.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Update-MLEvaluation</name><description><para>Calls the Amazon Machine Learning UpdateEvaluation API operation.</para></description><verb>Update</verb><noun>MLEvaluation</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Updates the <code>EvaluationName</code> of an <code>Evaluation</code>. You can use the <code>GetEvaluation</code> operation to view the contents of the updated data element. </para></description><syntax><syntaxItem><name>Update-MLEvaluation</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EvaluationName</name><description><para>A new user-supplied name or description of the <code>Evaluation</code> that will replace the current content. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationId</name><description><para>The ID assigned to the <code>Evaluation</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'EvaluationId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EvaluationName parameter. The -PassThru parameter is deprecated, use -Select '^EvaluationName' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationId</name><description><para>The ID assigned to the <code>Evaluation</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EvaluationName</name><description><para>A new user-supplied name or description of the <code>Evaluation</code> that will replace the current content. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EvaluationName parameter. The -PassThru parameter is deprecated, use -Select '^EvaluationName' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'EvaluationId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.UpdateEvaluationResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.UpdateEvaluationResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Update-MLEvaluation.html&tocid=Update-MLEvaluation</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLBatchPrediction</name><description><para>Calls the Amazon Machine Learning CreateBatchPrediction API operation.</para></description><verb>New</verb><noun>MLBatchPrediction</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a <code>DataSource</code>. This operation creates a new <code>BatchPrediction</code>, and uses an <code>MLModel</code> and the data files referenced by the <code>DataSource</code> as information sources. <code>CreateBatchPrediction</code> is an asynchronous operation. In response to <code>CreateBatchPrediction</code>, Amazon Machine Learning (Amazon ML) immediately returns and sets the <code>BatchPrediction</code> status to <code>PENDING</code>. After the <code>BatchPrediction</code> completes, Amazon ML sets the status to <code>COMPLETED</code>. You can poll for status updates by using the <a>GetBatchPrediction</a> operation and checking the <code>Status</code> parameter of the result. After the <code>COMPLETED</code> status appears, the results are available in the location specified by the <code>OutputUri</code> parameter. </para></description><syntax><syntaxItem><name>New-MLBatchPrediction</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID of the <code>MLModel</code> that will generate predictions for the group of observations. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionDataSourceId</name><description><para>The ID of the <code>DataSource</code> that points to the group of observations to predict. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionId</name><description><para>A user-supplied ID that uniquely identifies the <code>BatchPrediction</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionName</name><description><para>A user-supplied name or description of the <code>BatchPrediction</code>. <code>BatchPredictionName</code> can only use the UTF-8 character set. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>OutputUri</name><description><para>The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the <code>s3 key</code> portion of the <code>outputURI</code> field: ':', '//', '/./', '/../'. Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the <a href="https://docs.aws.amazon.com/machine-learning/latest/dg">Amazon Machine Learning Developer Guide</a>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'BatchPredictionId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionDataSourceId</name><description><para>The ID of the <code>DataSource</code> that points to the group of observations to predict. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionId</name><description><para>A user-supplied ID that uniquely identifies the <code>BatchPrediction</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>BatchPredictionName</name><description><para>A user-supplied name or description of the <code>BatchPrediction</code>. <code>BatchPredictionName</code> can only use the UTF-8 character set. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID of the <code>MLModel</code> that will generate predictions for the group of observations. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>OutputUri</name><description><para>The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the <code>s3 key</code> portion of the <code>outputURI</code> field: ':', '//', '/./', '/../'. Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the <a href="https://docs.aws.amazon.com/machine-learning/latest/dg">Amazon Machine Learning Developer Guide</a>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'BatchPredictionId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateBatchPredictionResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateBatchPredictionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.CreateBatchPredictionResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.CreateBatchPredictionResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLBatchPrediction.html&tocid=New-MLBatchPrediction</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>New-MLBatchPrediction -ModelId ID -Name NAME -OutputURI s3://...</code><remarks><para>Description</para><para>-----------</para><para>Create a new batch prediction request for model with id ID and put the output at the specified S3 location.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLEvaluation</name><description><para>Calls the Amazon Machine Learning CreateEvaluation API operation.</para></description><verb>New</verb><noun>MLEvaluation</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Creates a new <code>Evaluation</code> of an <code>MLModel</code>. An <code>MLModel</code> is evaluated on a set of observations associated to a <code>DataSource</code>. Like a <code>DataSource</code> for an <code>MLModel</code>, the <code>DataSource</code> for an <code>Evaluation</code> contains values for the <code>Target Variable</code>. The <code>Evaluation</code> compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the <code>MLModel</code> functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding <code>MLModelType</code>: <code>BINARY</code>, <code>REGRESSION</code> or <code>MULTICLASS</code>. <code>CreateEvaluation</code> is an asynchronous operation. In response to <code>CreateEvaluation</code>, Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status to <code>PENDING</code>. After the <code>Evaluation</code> is created and ready for use, Amazon ML sets the status to <code>COMPLETED</code>. You can use the <code>GetEvaluation</code> operation to check progress of the evaluation during the creation operation. </para></description><syntax><syntaxItem><name>New-MLEvaluation</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID of the <code>MLModel</code> to evaluate. The schema used in creating the <code>MLModel</code> must match the schema of the <code>DataSource</code> used in the <code>Evaluation</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationDataSourceId</name><description><para>The ID of the <code>DataSource</code> for the evaluation. The schema of the <code>DataSource</code> must match the schema used to create the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationId</name><description><para>A user-supplied ID that uniquely identifies the <code>Evaluation</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationName</name><description><para>A user-supplied name or description of the <code>Evaluation</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'EvaluationId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationDataSourceId</name><description><para>The ID of the <code>DataSource</code> for the evaluation. The schema of the <code>DataSource</code> must match the schema used to create the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationId</name><description><para>A user-supplied ID that uniquely identifies the <code>Evaluation</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EvaluationName</name><description><para>A user-supplied name or description of the <code>Evaluation</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID of the <code>MLModel</code> to evaluate. The schema used in creating the <code>MLModel</code> must match the schema of the <code>DataSource</code> used in the <code>Evaluation</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'EvaluationId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.CreateEvaluationResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.CreateEvaluationResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLEvaluation.html&tocid=New-MLEvaluation</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>New-MLEvaluation -Name NAME -DataSourceId DSID -ModelId MID</code><remarks><para>Description</para><para>-----------</para><para>Create an evaluation for a given data source id and model id</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLBatchPredictionList</name><description><para>Calls the Amazon Machine Learning DescribeBatchPredictions API operation.</para></description><verb>Get</verb><noun>MLBatchPredictionList</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns a list of <code>BatchPrediction</code> operations that match the search criteria in the request.<br /><br />This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </para></description><syntax><syntaxItem><name>Get-MLBatchPredictionList</name><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variables to filter a list of <code>BatchPrediction</code>: - <code>CreatedAt</code> - Sets the search criteria to the <code>BatchPrediction</code> creation date. - <code>Status</code> - Sets the search criteria to the <code>BatchPrediction</code> status. - <code>Name</code> - Sets the search criteria to the contents of the <code>BatchPrediction</code><b></b><code>Name</code>. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>BatchPrediction</code> creation. - <code>MLModelId</code> - Sets the search criteria to the <code>MLModel</code> used in the <code>BatchPrediction</code>. - <code>DataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used in the <code>BatchPrediction</code>. - <code>DataURI</code> - Sets the search criteria to the data file(s) used in the <code>BatchPrediction</code>. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.BatchPredictionFilterVariable</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, a <code>Batch Prediction</code> operation could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>BatchPrediction</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>s. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>An ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeBatchPredictionsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeBatchPredictionsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variables to filter a list of <code>BatchPrediction</code>: - <code>CreatedAt</code> - Sets the search criteria to the <code>BatchPrediction</code> creation date. - <code>Status</code> - Sets the search criteria to the <code>BatchPrediction</code> status. - <code>Name</code> - Sets the search criteria to the contents of the <code>BatchPrediction</code><b></b><code>Name</code>. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>BatchPrediction</code> creation. - <code>MLModelId</code> - Sets the search criteria to the <code>MLModel</code> used in the <code>BatchPrediction</code>. - <code>DataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used in the <code>BatchPrediction</code>. - <code>DataURI</code> - Sets the search criteria to the data file(s) used in the <code>BatchPrediction</code>. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.BatchPredictionFilterVariable</parameterValue><type><name>Amazon.MachineLearning.BatchPredictionFilterVariable</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue><type><name>System.Int32</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>BatchPrediction</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>An ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, a <code>Batch Prediction</code> operation could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>BatchPrediction</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeBatchPredictionsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeBatchPredictionsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>s. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue><type><name>Amazon.MachineLearning.SortOrder</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.BatchPrediction or Amazon.MachineLearning.Model.DescribeBatchPredictionsResponse</name><uri /><description /></type><description><para>This cmdlet returns a collection of Amazon.MachineLearning.Model.BatchPrediction objects. The service call response (type Amazon.MachineLearning.Model.DescribeBatchPredictionsResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLBatchPredictionList.html&tocid=Get-MLBatchPredictionList</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLBatchPredictionList</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all BatchPredictions and their associated data records that match the search criterion given in the request.</para><para /><para /></remarks></example><example><title>-------------------------- EXAMPLE 2 --------------------------</title><code>Get-MLBatchPredictionList -FilterVariable Status -EQ COMPLETED</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all BatchPredictions with a status of COMPLETED.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLDataSourceFromRedshift</name><description><para>Calls the Amazon Machine Learning CreateDataSourceFromRedshift API operation.</para></description><verb>New</verb><noun>MLDataSourceFromRedshift</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Creates a <code>DataSource</code> from a database hosted on an Amazon Redshift cluster. A <code>DataSource</code> references data that can be used to perform either <code>CreateMLModel</code>, <code>CreateEvaluation</code>, or <code>CreateBatchPrediction</code> operations. <code>CreateDataSourceFromRedshift</code> is an asynchronous operation. In response to <code>CreateDataSourceFromRedshift</code>, Amazon Machine Learning (Amazon ML) immediately returns and sets the <code>DataSource</code> status to <code>PENDING</code>. After the <code>DataSource</code> is created and ready for use, Amazon ML sets the <code>Status</code> parameter to <code>COMPLETED</code>. <code>DataSource</code> in <code>COMPLETED</code> or <code>PENDING</code> states can be used to perform only <code>CreateMLModel</code>, <code>CreateEvaluation</code>, or <code>CreateBatchPrediction</code> operations. If Amazon ML can&#39;t accept the input source, it sets the <code>Status</code> parameter to <code>FAILED</code> and includes an error message in the <code>Message</code> attribute of the <code>GetDataSource</code> operation response. The observations should be contained in the database hosted on an Amazon Redshift cluster and should be specified by a <code>SelectSqlQuery</code> query. Amazon ML executes an <code>Unload</code> command in Amazon Redshift to transfer the result set of the <code>SelectSqlQuery</code> query to <code>S3StagingLocation</code>. After the <code>DataSource</code> has been created, it&#39;s ready for use in evaluations and batch predictions. If you plan to use the <code>DataSource</code> to train an <code>MLModel</code>, the <code>DataSource</code> also requires a recipe. A recipe describes how each input variable will be used in training an <code>MLModel</code>. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions. You can&#39;t change an existing datasource, but you can copy and modify the settings from an existing Amazon Redshift datasource to create a new datasource. To do so, call <code>GetDataSource</code> for an existing datasource and copy the values to a <code>CreateDataSource</code> call. Change the settings that you want to change and make sure that all required fields have the appropriate values. </para></description><syntax><syntaxItem><name>New-MLDataSourceFromRedshift</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_ClusterIdentifier</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ComputeStatistic</name><description><para>The compute statistics for a <code>DataSource</code>. The statistics are generated from the observation data referenced by a <code>DataSource</code>. Amazon ML uses the statistics internally during <code>MLModel</code> training. This parameter must be set to <code>true</code> if the <code>DataSource</code> needs to be used for <code>MLModel</code> training. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_DatabaseName</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataRearrangement</name><description><para>A JSON string that represents the splitting and rearrangement processing to be applied to a <code>DataSource</code>. If the <code>DataRearrangement</code> parameter is not provided, all of the input data is used to create the <code>Datasource</code>. There are multiple parameters that control what data is used to create a datasource: - <b><code>percentBegin</code></b> Use <code>percentBegin</code> to indicate the beginning of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>percentEnd</code></b> Use <code>percentEnd</code> to indicate the end of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>complement</code></b> The <code>complement</code> parameter instructs Amazon ML to use the data that is not included in the range of <code>percentBegin</code> to <code>percentEnd</code> to create a datasource. The <code>complement</code> parameter is useful if you need to create complementary datasources for training and evaluation. To create a complementary datasource, use the same values for <code>percentBegin</code> and <code>percentEnd</code>, along with the <code>complement</code> parameter. For example, the following two datasources do not share any data, and can be used to train and evaluate a model. The first datasource has 25 percent of the data, and the second one has 75 percent of the data. Datasource for evaluation: <code>{"splitting":{"percentBegin":0, "percentEnd":25}}</code> Datasource for training: <code>{"splitting":{"percentBegin":0, "percentEnd":25, "complement":"true"}}</code> - <b><code>strategy</code></b> To change how Amazon ML splits the data for a datasource, use the <code>strategy</code> parameter. The default value for the <code>strategy</code> parameter is <code>sequential</code>, meaning that Amazon ML takes all of the data records between the <code>percentBegin</code> and <code>percentEnd</code> parameters for the datasource, in the order that the records appear in the input data. The following two <code>DataRearrangement</code> lines are examples of sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential", "complement":"true"}}</code> To randomly split the input data into the proportions indicated by the percentBegin and percentEnd parameters, set the <code>strategy</code> parameter to <code>random</code> and provide a string that is used as the seed value for the random data splitting (for example, you can use the S3 path to your data as the random seed string). If you choose the random split strategy, Amazon ML assigns each row of data a pseudo-random number between 0 and 100, and then selects the rows that have an assigned number between <code>percentBegin</code> and <code>percentEnd</code>. Pseudo-random numbers are assigned using both the input seed string value and the byte offset as a seed, so changing the data results in a different split. Any existing ordering is preserved. The random splitting strategy ensures that variables in the training and evaluation data are distributed similarly. It is useful in the cases where the input data may have an implicit sort order, which would otherwise result in training and evaluation datasources containing non-similar data records. The following two <code>DataRearrangement</code> lines are examples of non-sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv", "complement":"true"}}</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchema</name><description><para>A JSON string that represents the schema for an Amazon Redshift <code>DataSource</code>. The <code>DataSchema</code> defines the structure of the observation data in the data file(s) referenced in the <code>DataSource</code>. A <code>DataSchema</code> is not required if you specify a <code>DataSchemaUri</code>. Define your <code>DataSchema</code> as a series of key-value pairs. <code>attributes</code> and <code>excludedVariableNames</code> have an array of key-value pairs for their value. Use the following format to define your <code>DataSchema</code>. { "version": "1.0", "recordAnnotationFieldName": "F1", "recordWeightFieldName": "F2", "targetFieldName": "F3", "dataFormat": "CSV", "dataFileContainsHeader": true, "attributes": [ { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], "excludedVariableNames": [ "F6" ] } </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchemaUri</name><description><para>Describes the schema location for an Amazon Redshift <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>A user-supplied ID that uniquely identifies the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceName</name><description><para>A user-supplied name or description of the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Password</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RoleARN</name><description><para>A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following: - A security group to allow Amazon ML to execute the <code>SelectSqlQuery</code> query on an Amazon Redshift cluster - An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the <code>S3StagingLocation</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_S3StagingLocation</name><description><para>Describes an Amazon S3 location to store the result set of the <code>SelectSqlQuery</code> query. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_SelectSqlQuery</name><description><para>Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Username</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ComputeStatistic</name><description><para>The compute statistics for a <code>DataSource</code>. The statistics are generated from the observation data referenced by a <code>DataSource</code>. Amazon ML uses the statistics internally during <code>MLModel</code> training. This parameter must be set to <code>true</code> if the <code>DataSource</code> needs to be used for <code>MLModel</code> training. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue><type><name>System.Boolean</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Password</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseCredentials_Username</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_ClusterIdentifier</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DatabaseInformation_DatabaseName</name><description><para>The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>A user-supplied ID that uniquely identifies the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceName</name><description><para>A user-supplied name or description of the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataRearrangement</name><description><para>A JSON string that represents the splitting and rearrangement processing to be applied to a <code>DataSource</code>. If the <code>DataRearrangement</code> parameter is not provided, all of the input data is used to create the <code>Datasource</code>. There are multiple parameters that control what data is used to create a datasource: - <b><code>percentBegin</code></b> Use <code>percentBegin</code> to indicate the beginning of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>percentEnd</code></b> Use <code>percentEnd</code> to indicate the end of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>complement</code></b> The <code>complement</code> parameter instructs Amazon ML to use the data that is not included in the range of <code>percentBegin</code> to <code>percentEnd</code> to create a datasource. The <code>complement</code> parameter is useful if you need to create complementary datasources for training and evaluation. To create a complementary datasource, use the same values for <code>percentBegin</code> and <code>percentEnd</code>, along with the <code>complement</code> parameter. For example, the following two datasources do not share any data, and can be used to train and evaluate a model. The first datasource has 25 percent of the data, and the second one has 75 percent of the data. Datasource for evaluation: <code>{"splitting":{"percentBegin":0, "percentEnd":25}}</code> Datasource for training: <code>{"splitting":{"percentBegin":0, "percentEnd":25, "complement":"true"}}</code> - <b><code>strategy</code></b> To change how Amazon ML splits the data for a datasource, use the <code>strategy</code> parameter. The default value for the <code>strategy</code> parameter is <code>sequential</code>, meaning that Amazon ML takes all of the data records between the <code>percentBegin</code> and <code>percentEnd</code> parameters for the datasource, in the order that the records appear in the input data. The following two <code>DataRearrangement</code> lines are examples of sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential", "complement":"true"}}</code> To randomly split the input data into the proportions indicated by the percentBegin and percentEnd parameters, set the <code>strategy</code> parameter to <code>random</code> and provide a string that is used as the seed value for the random data splitting (for example, you can use the S3 path to your data as the random seed string). If you choose the random split strategy, Amazon ML assigns each row of data a pseudo-random number between 0 and 100, and then selects the rows that have an assigned number between <code>percentBegin</code> and <code>percentEnd</code>. Pseudo-random numbers are assigned using both the input seed string value and the byte offset as a seed, so changing the data results in a different split. Any existing ordering is preserved. The random splitting strategy ensures that variables in the training and evaluation data are distributed similarly. It is useful in the cases where the input data may have an implicit sort order, which would otherwise result in training and evaluation datasources containing non-similar data records. The following two <code>DataRearrangement</code> lines are examples of non-sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv", "complement":"true"}}</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchema</name><description><para>A JSON string that represents the schema for an Amazon Redshift <code>DataSource</code>. The <code>DataSchema</code> defines the structure of the observation data in the data file(s) referenced in the <code>DataSource</code>. A <code>DataSchema</code> is not required if you specify a <code>DataSchemaUri</code>. Define your <code>DataSchema</code> as a series of key-value pairs. <code>attributes</code> and <code>excludedVariableNames</code> have an array of key-value pairs for their value. Use the following format to define your <code>DataSchema</code>. { "version": "1.0", "recordAnnotationFieldName": "F1", "recordWeightFieldName": "F2", "targetFieldName": "F3", "dataFormat": "CSV", "dataFileContainsHeader": true, "attributes": [ { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], "excludedVariableNames": [ "F6" ] } </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchemaUri</name><description><para>Describes the schema location for an Amazon Redshift <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_S3StagingLocation</name><description><para>Describes an Amazon S3 location to store the result set of the <code>SelectSqlQuery</code> query. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_SelectSqlQuery</name><description><para>Describes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RoleARN</name><description><para>A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following: - A security group to allow Amazon ML to execute the <code>SelectSqlQuery</code> query on an Amazon Redshift cluster - An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the <code>S3StagingLocation</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLDataSourceFromRedshift.html&tocid=New-MLDataSourceFromRedshift</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLEvaluation</name><description><para>Calls the Amazon Machine Learning GetEvaluation API operation.</para></description><verb>Get</verb><noun>MLEvaluation</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns an <code>Evaluation</code> that includes metadata as well as the current status of the <code>Evaluation</code>. </para></description><syntax><syntaxItem><name>Get-MLEvaluation</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EvaluationId</name><description><para>The ID of the <code>Evaluation</code> to retrieve. The evaluation of each <code>MLModel</code> is recorded and cataloged. The ID provides the means to access the information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EvaluationId parameter. The -PassThru parameter is deprecated, use -Select '^EvaluationId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EvaluationId</name><description><para>The ID of the <code>Evaluation</code> to retrieve. The evaluation of each <code>MLModel</code> is recorded and cataloged. The ID provides the means to access the information. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EvaluationId parameter. The -PassThru parameter is deprecated, use -Select '^EvaluationId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.GetEvaluationResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.GetEvaluationResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.GetEvaluationResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.GetEvaluationResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLEvaluation.html&tocid=Get-MLEvaluation</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLEvaluation -EvaluationId ID</code><remarks><para>Description</para><para>-----------</para><para>Returns metadata and status for an Evaluation with id ID.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Get-MLModelList</name><description><para>Calls the Amazon Machine Learning DescribeMLModels API operation.</para></description><verb>Get</verb><noun>MLModelList</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Returns a list of <code>MLModel</code> that match the search criteria in the request.<br /><br />This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </para></description><syntax><syntaxItem><name>Get-MLModelList</name><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variables to filter a list of <code>MLModel</code>: - <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date. - <code>Status</code> - Sets the search criteria to <code>MLModel</code> status. - <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code><b></b><code>Name</code>. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code> creation. - <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or more <code>MLModel</code>. - <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint status. - <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or multi-class. - <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses. - <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.MLModelFilterVariable</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, an <code>MLModel</code> could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>The ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeMLModelsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeMLModelsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EQ</name><description><para>The equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that exactly match the value specified with <code>EQ</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>FilterVariable</name><description><para>Use one of the following variables to filter a list of <code>MLModel</code>: - <code>CreatedAt</code> - Sets the search criteria to <code>MLModel</code> creation date. - <code>Status</code> - Sets the search criteria to <code>MLModel</code> status. - <code>Name</code> - Sets the search criteria to the contents of <code>MLModel</code><b></b><code>Name</code>. - <code>IAMUser</code> - Sets the search criteria to the user account that invoked the <code>MLModel</code> creation. - <code>TrainingDataSourceId</code> - Sets the search criteria to the <code>DataSource</code> used to train one or more <code>MLModel</code>. - <code>RealtimeEndpointStatus</code> - Sets the search criteria to the <code>MLModel</code> real-time endpoint status. - <code>MLModelType</code> - Sets the search criteria to <code>MLModel</code> type: binary, regression, or multi-class. - <code>Algorithm</code> - Sets the search criteria to the algorithm that the <code>MLModel</code> uses. - <code>TrainingDataURI</code> - Sets the search criteria to the data file(s) used in training a <code>MLModel</code>. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.MLModelFilterVariable</parameterValue><type><name>Amazon.MachineLearning.MLModelFilterVariable</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GE</name><description><para>The greater than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than or equal to the value specified with <code>GE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>GT</name><description><para>The greater than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are greater than the value specified with <code>GT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LE</name><description><para>The less than or equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than or equal to the value specified with <code>LE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Limit</name><description><para>The number of pages of information to include in the result. The range of acceptable values is <code>1</code> through <code>100</code>. The default value is <code>100</code>. <br /><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br />In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br />Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue><type><name>System.Int32</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>LT</name><description><para>The less than operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values that are less than the value specified with <code>LT</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NE</name><description><para>The not equal to operator. The <code>MLModel</code> results will have <code>FilterVariable</code> values not equal to the value specified with <code>NE</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NextToken</name><description><para>The ID of the page in the paginated results. <br /><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br />In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>NoAutoIteration</name><description><para>By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Prefix</name><description><para>A string that is found at the beginning of a variable, such as <code>Name</code> or <code>Id</code>. For example, an <code>MLModel</code> could have the <code>Name</code><code>2014-09-09-HolidayGiftMailer</code>. To search for this <code>MLModel</code>, select <code>Name</code> for the <code>FilterVariable</code> and any of the following strings for the <code>Prefix</code>: - 2014-09 - 2014-09-09 - 2014-09-09-Holiday </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.DescribeMLModelsResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.DescribeMLModelsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SortOrder</name><description><para>A two-value parameter that determines the sequence of the resulting list of <code>MLModel</code>. - <code>asc</code> - Arranges the list in ascending order (A-Z, 0-9). - <code>dsc</code> - Arranges the list in descending order (Z-A, 9-0). Results are sorted by <code>FilterVariable</code>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.SortOrder</parameterValue><type><name>Amazon.MachineLearning.SortOrder</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.MLModel or Amazon.MachineLearning.Model.DescribeMLModelsResponse</name><uri /><description /></type><description><para>This cmdlet returns a collection of Amazon.MachineLearning.Model.MLModel objects. The service call response (type Amazon.MachineLearning.Model.DescribeMLModelsResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Get-MLModelList.html&tocid=Get-MLModelList</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>Get-MLModelList</code><remarks><para>Description</para><para>-----------</para><para> Returns a list of all Models and their associated data records. </para><para /><para /></remarks></example><example><title>-------------------------- EXAMPLE 2 --------------------------</title><code>Get-MLModelList -FilterVariable Status -EQ COMPLETED</code><remarks><para>Description</para><para>-----------</para><para>Returns a list of all Models with a status of COMPLETED.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Update-MLMLModel</name><description><para>Calls the Amazon Machine Learning UpdateMLModel API operation.</para></description><verb>Update</verb><noun>MLMLModel</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Updates the <code>MLModelName</code> and the <code>ScoreThreshold</code> of an <code>MLModel</code>. You can use the <code>GetMLModel</code> operation to view the contents of the updated data element. </para></description><syntax><syntaxItem><name>Update-MLMLModel</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>MLModelName</name><description><para>A user-supplied name or description of the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ScoreThreshold</name><description><para>The <code>ScoreThreshold</code> used in binary classification <code>MLModel</code> that marks the boundary between a positive prediction and a negative prediction. Output values greater than or equal to the <code>ScoreThreshold</code> receive a positive result from the <code>MLModel</code>, such as <code>true</code>. Output values less than the <code>ScoreThreshold</code> receive a negative response from the <code>MLModel</code>, such as <code>false</code>. </para></description><parameterValue required="true" variableLength="false">System.Single</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'MLModelId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>MLModelName</name><description><para>A user-supplied name or description of the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ScoreThreshold</name><description><para>The <code>ScoreThreshold</code> used in binary classification <code>MLModel</code> that marks the boundary between a positive prediction and a negative prediction. Output values greater than or equal to the <code>ScoreThreshold</code> receive a positive result from the <code>MLModel</code>, such as <code>true</code>. Output values less than the <code>ScoreThreshold</code> receive a negative response from the <code>MLModel</code>, such as <code>false</code>. </para></description><parameterValue required="true" variableLength="false">System.Single</parameterValue><type><name>System.Single</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'MLModelId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.UpdateMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.UpdateMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.UpdateMLModelResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.UpdateMLModelResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=Update-MLMLModel.html&tocid=Update-MLMLModel</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLModel</name><description><para>Calls the Amazon Machine Learning CreateMLModel API operation.</para></description><verb>New</verb><noun>MLModel</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Creates a new <code>MLModel</code> using the <code>DataSource</code> and the recipe as information sources. An <code>MLModel</code> is nearly immutable. Users can update only the <code>MLModelName</code> and the <code>ScoreThreshold</code> in an <code>MLModel</code> without creating a new <code>MLModel</code>. <code>CreateMLModel</code> is an asynchronous operation. In response to <code>CreateMLModel</code>, Amazon Machine Learning (Amazon ML) immediately returns and sets the <code>MLModel</code> status to <code>PENDING</code>. After the <code>MLModel</code> has been created and ready is for use, Amazon ML sets the status to <code>COMPLETED</code>. You can use the <code>GetMLModel</code> operation to check the progress of the <code>MLModel</code> during the creation operation. <code>CreateMLModel</code> requires a <code>DataSource</code> with computed statistics, which can be created by setting <code>ComputeStatistics</code> to <code>true</code> in <code>CreateDataSourceFromRDS</code>, <code>CreateDataSourceFromS3</code>, or <code>CreateDataSourceFromRedshift</code> operations. </para></description><syntax><syntaxItem><name>New-MLModel</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>A user-supplied ID that uniquely identifies the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>MLModelName</name><description><para>A user-supplied name or description of the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>MLModelType</name><description><para>The category of supervised learning that this <code>MLModel</code> will address. Choose from the following types: - Choose <code>REGRESSION</code> if the <code>MLModel</code> will be used to predict a numeric value. - Choose <code>BINARY</code> if the <code>MLModel</code> result has two possible values. - Choose <code>MULTICLASS</code> if the <code>MLModel</code> result has a limited number of values. For more information, see the <a href="https://docs.aws.amazon.com/machine-learning/latest/dg">Amazon Machine Learning Developer Guide</a>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.MLModelType</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Parameter</name><description><para>A list of the training parameters in the <code>MLModel</code>. The list is implemented as a map of key-value pairs. The following is the current set of training parameters: - <code>sgd.maxMLModelSizeInBytes</code> - The maximum allowed size of the model. Depending on the input data, the size of the model might affect its performance. The value is an integer that ranges from <code>100000</code> to <code>2147483648</code>. The default value is <code>33554432</code>. - <code>sgd.maxPasses</code> - The number of times that the training process traverses the observations to build the <code>MLModel</code>. The value is an integer that ranges from <code>1</code> to <code>10000</code>. The default value is <code>10</code>. - <code>sgd.shuffleType</code> - Whether Amazon ML shuffles the training data. Shuffling the data improves a model's ability to find the optimal solution for a variety of data types. The valid values are <code>auto</code> and <code>none</code>. The default value is <code>none</code>. We strongly recommend that you shuffle your data. - <code>sgd.l1RegularizationAmount</code> - The coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in a sparse feature set. If you use this parameter, start by specifying a small value, such as <code>1.0E-08</code>. The value is a double that ranges from <code>0</code> to <code>MAX_DOUBLE</code>. The default is to not use L1 normalization. This parameter can't be used when <code>L2</code> is specified. Use this parameter sparingly. - <code>sgd.l2RegularizationAmount</code> - The coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, start by specifying a small value, such as <code>1.0E-08</code>. The value is a double that ranges from <code>0</code> to <code>MAX_DOUBLE</code>. The default is to not use L2 normalization. This parameter can't be used when <code>L1</code> is specified. Use this parameter sparingly. </para></description><parameterValue required="true" variableLength="false">System.Collections.Hashtable</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Recipe</name><description><para>The data recipe for creating the <code>MLModel</code>. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RecipeUri</name><description><para>The Amazon Simple Storage Service (Amazon S3) location and file name that contains the <code>MLModel</code> recipe. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TrainingDataSourceId</name><description><para>The <code>DataSource</code> that points to the training data. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'MLModelId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>A user-supplied ID that uniquely identifies the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>MLModelName</name><description><para>A user-supplied name or description of the <code>MLModel</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>MLModelType</name><description><para>The category of supervised learning that this <code>MLModel</code> will address. Choose from the following types: - Choose <code>REGRESSION</code> if the <code>MLModel</code> will be used to predict a numeric value. - Choose <code>BINARY</code> if the <code>MLModel</code> result has two possible values. - Choose <code>MULTICLASS</code> if the <code>MLModel</code> result has a limited number of values. For more information, see the <a href="https://docs.aws.amazon.com/machine-learning/latest/dg">Amazon Machine Learning Developer Guide</a>. </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.MLModelType</parameterValue><type><name>Amazon.MachineLearning.MLModelType</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Parameter</name><description><para>A list of the training parameters in the <code>MLModel</code>. The list is implemented as a map of key-value pairs. The following is the current set of training parameters: - <code>sgd.maxMLModelSizeInBytes</code> - The maximum allowed size of the model. Depending on the input data, the size of the model might affect its performance. The value is an integer that ranges from <code>100000</code> to <code>2147483648</code>. The default value is <code>33554432</code>. - <code>sgd.maxPasses</code> - The number of times that the training process traverses the observations to build the <code>MLModel</code>. The value is an integer that ranges from <code>1</code> to <code>10000</code>. The default value is <code>10</code>. - <code>sgd.shuffleType</code> - Whether Amazon ML shuffles the training data. Shuffling the data improves a model's ability to find the optimal solution for a variety of data types. The valid values are <code>auto</code> and <code>none</code>. The default value is <code>none</code>. We strongly recommend that you shuffle your data. - <code>sgd.l1RegularizationAmount</code> - The coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in a sparse feature set. If you use this parameter, start by specifying a small value, such as <code>1.0E-08</code>. The value is a double that ranges from <code>0</code> to <code>MAX_DOUBLE</code>. The default is to not use L1 normalization. This parameter can't be used when <code>L2</code> is specified. Use this parameter sparingly. - <code>sgd.l2RegularizationAmount</code> - The coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, start by specifying a small value, such as <code>1.0E-08</code>. The value is a double that ranges from <code>0</code> to <code>MAX_DOUBLE</code>. The default is to not use L2 normalization. This parameter can't be used when <code>L1</code> is specified. Use this parameter sparingly. </para></description><parameterValue required="true" variableLength="false">System.Collections.Hashtable</parameterValue><type><name>System.Collections.Hashtable</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Recipe</name><description><para>The data recipe for creating the <code>MLModel</code>. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RecipeUri</name><description><para>The Amazon Simple Storage Service (Amazon S3) location and file name that contains the <code>MLModel</code> recipe. You must specify either the recipe or its URI. If you don't specify a recipe or its URI, Amazon ML creates a default. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'MLModelId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateMLModelResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateMLModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TrainingDataSourceId</name><description><para>The <code>DataSource</code> that points to the training data. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.CreateMLModelResponse</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.CreateMLModelResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLModel.html&tocid=New-MLModel</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>New-MLModel -Name NAME -ModelType BINARY -Parameter @{...} -TrainingDataSourceId ID</code><remarks><para>Description</para><para>-----------</para><para>Create a new model with training data.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLDataSourceFromS3</name><description><para>Calls the Amazon Machine Learning CreateDataSourceFromS3 API operation.</para></description><verb>New</verb><noun>MLDataSourceFromS3</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Creates a <code>DataSource</code> object. A <code>DataSource</code> references data that can be used to perform <code>CreateMLModel</code>, <code>CreateEvaluation</code>, or <code>CreateBatchPrediction</code> operations. <code>CreateDataSourceFromS3</code> is an asynchronous operation. In response to <code>CreateDataSourceFromS3</code>, Amazon Machine Learning (Amazon ML) immediately returns and sets the <code>DataSource</code> status to <code>PENDING</code>. After the <code>DataSource</code> has been created and is ready for use, Amazon ML sets the <code>Status</code> parameter to <code>COMPLETED</code>. <code>DataSource</code> in the <code>COMPLETED</code> or <code>PENDING</code> state can be used to perform only <code>CreateMLModel</code>, <code>CreateEvaluation</code> or <code>CreateBatchPrediction</code> operations. If Amazon ML can&#39;t accept the input source, it sets the <code>Status</code> parameter to <code>FAILED</code> and includes an error message in the <code>Message</code> attribute of the <code>GetDataSource</code> operation response. The observation data used in a <code>DataSource</code> should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more .csv files in an Amazon Simple Storage Service (Amazon S3) location, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by the <code>DataSource</code>. After the <code>DataSource</code> has been created, it&#39;s ready to use in evaluations and batch predictions. If you plan to use the <code>DataSource</code> to train an <code>MLModel</code>, the <code>DataSource</code> also needs a recipe. A recipe describes how each input variable will be used in training an <code>MLModel</code>. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions. </para></description><syntax><syntaxItem><name>New-MLDataSourceFromS3</name><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ComputeStatistic</name><description><para>The compute statistics for a <code>DataSource</code>. The statistics are generated from the observation data referenced by a <code>DataSource</code>. Amazon ML uses the statistics internally during <code>MLModel</code> training. This parameter must be set to <code>true</code> if the <code />DataSource<code /> needs to be used for <code>MLModel</code> training. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataLocationS3</name><description><para>The location of the data file(s) used by a <code>DataSource</code>. The URI specifies a data file or an Amazon Simple Storage Service (Amazon S3) directory or bucket containing data files. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataRearrangement</name><description><para>A JSON string that represents the splitting and rearrangement processing to be applied to a <code>DataSource</code>. If the <code>DataRearrangement</code> parameter is not provided, all of the input data is used to create the <code>Datasource</code>. There are multiple parameters that control what data is used to create a datasource: - <b><code>percentBegin</code></b> Use <code>percentBegin</code> to indicate the beginning of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>percentEnd</code></b> Use <code>percentEnd</code> to indicate the end of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>complement</code></b> The <code>complement</code> parameter instructs Amazon ML to use the data that is not included in the range of <code>percentBegin</code> to <code>percentEnd</code> to create a datasource. The <code>complement</code> parameter is useful if you need to create complementary datasources for training and evaluation. To create a complementary datasource, use the same values for <code>percentBegin</code> and <code>percentEnd</code>, along with the <code>complement</code> parameter. For example, the following two datasources do not share any data, and can be used to train and evaluate a model. The first datasource has 25 percent of the data, and the second one has 75 percent of the data. Datasource for evaluation: <code>{"splitting":{"percentBegin":0, "percentEnd":25}}</code> Datasource for training: <code>{"splitting":{"percentBegin":0, "percentEnd":25, "complement":"true"}}</code> - <b><code>strategy</code></b> To change how Amazon ML splits the data for a datasource, use the <code>strategy</code> parameter. The default value for the <code>strategy</code> parameter is <code>sequential</code>, meaning that Amazon ML takes all of the data records between the <code>percentBegin</code> and <code>percentEnd</code> parameters for the datasource, in the order that the records appear in the input data. The following two <code>DataRearrangement</code> lines are examples of sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential", "complement":"true"}}</code> To randomly split the input data into the proportions indicated by the percentBegin and percentEnd parameters, set the <code>strategy</code> parameter to <code>random</code> and provide a string that is used as the seed value for the random data splitting (for example, you can use the S3 path to your data as the random seed string). If you choose the random split strategy, Amazon ML assigns each row of data a pseudo-random number between 0 and 100, and then selects the rows that have an assigned number between <code>percentBegin</code> and <code>percentEnd</code>. Pseudo-random numbers are assigned using both the input seed string value and the byte offset as a seed, so changing the data results in a different split. Any existing ordering is preserved. The random splitting strategy ensures that variables in the training and evaluation data are distributed similarly. It is useful in the cases where the input data may have an implicit sort order, which would otherwise result in training and evaluation datasources containing non-similar data records. The following two <code>DataRearrangement</code> lines are examples of non-sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv", "complement":"true"}}</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchema</name><description><para> A JSON string that represents the schema for an Amazon S3 <code>DataSource</code>. The <code>DataSchema</code> defines the structure of the observation data in the data file(s) referenced in the <code>DataSource</code>. You must provide either the <code>DataSchema</code> or the <code>DataSchemaLocationS3</code>. Define your <code>DataSchema</code> as a series of key-value pairs. <code>attributes</code> and <code>excludedVariableNames</code> have an array of key-value pairs for their value. Use the following format to define your <code>DataSchema</code>. { "version": "1.0", "recordAnnotationFieldName": "F1", "recordWeightFieldName": "F2", "targetFieldName": "F3", "dataFormat": "CSV", "dataFileContainsHeader": true, "attributes": [ { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], "excludedVariableNames": [ "F6" ] } </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchemaLocationS3</name><description><para>Describes the schema location in Amazon S3. You must provide either the <code>DataSchema</code> or the <code>DataSchemaLocationS3</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>A user-supplied identifier that uniquely identifies the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceName</name><description><para>A user-supplied name or description of the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateDataSourceFromS3Response). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateDataSourceFromS3Response will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ComputeStatistic</name><description><para>The compute statistics for a <code>DataSource</code>. The statistics are generated from the observation data referenced by a <code>DataSource</code>. Amazon ML uses the statistics internally during <code>MLModel</code> training. This parameter must be set to <code>true</code> if the <code />DataSource<code /> needs to be used for <code>MLModel</code> training. </para></description><parameterValue required="true" variableLength="false">System.Boolean</parameterValue><type><name>System.Boolean</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceId</name><description><para>A user-supplied identifier that uniquely identifies the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSourceName</name><description><para>A user-supplied name or description of the <code>DataSource</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataLocationS3</name><description><para>The location of the data file(s) used by a <code>DataSource</code>. The URI specifies a data file or an Amazon Simple Storage Service (Amazon S3) directory or bucket containing data files. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataRearrangement</name><description><para>A JSON string that represents the splitting and rearrangement processing to be applied to a <code>DataSource</code>. If the <code>DataRearrangement</code> parameter is not provided, all of the input data is used to create the <code>Datasource</code>. There are multiple parameters that control what data is used to create a datasource: - <b><code>percentBegin</code></b> Use <code>percentBegin</code> to indicate the beginning of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>percentEnd</code></b> Use <code>percentEnd</code> to indicate the end of the range of the data used to create the Datasource. If you do not include <code>percentBegin</code> and <code>percentEnd</code>, Amazon ML includes all of the data when creating the datasource. - <b><code>complement</code></b> The <code>complement</code> parameter instructs Amazon ML to use the data that is not included in the range of <code>percentBegin</code> to <code>percentEnd</code> to create a datasource. The <code>complement</code> parameter is useful if you need to create complementary datasources for training and evaluation. To create a complementary datasource, use the same values for <code>percentBegin</code> and <code>percentEnd</code>, along with the <code>complement</code> parameter. For example, the following two datasources do not share any data, and can be used to train and evaluate a model. The first datasource has 25 percent of the data, and the second one has 75 percent of the data. Datasource for evaluation: <code>{"splitting":{"percentBegin":0, "percentEnd":25}}</code> Datasource for training: <code>{"splitting":{"percentBegin":0, "percentEnd":25, "complement":"true"}}</code> - <b><code>strategy</code></b> To change how Amazon ML splits the data for a datasource, use the <code>strategy</code> parameter. The default value for the <code>strategy</code> parameter is <code>sequential</code>, meaning that Amazon ML takes all of the data records between the <code>percentBegin</code> and <code>percentEnd</code> parameters for the datasource, in the order that the records appear in the input data. The following two <code>DataRearrangement</code> lines are examples of sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"sequential", "complement":"true"}}</code> To randomly split the input data into the proportions indicated by the percentBegin and percentEnd parameters, set the <code>strategy</code> parameter to <code>random</code> and provide a string that is used as the seed value for the random data splitting (for example, you can use the S3 path to your data as the random seed string). If you choose the random split strategy, Amazon ML assigns each row of data a pseudo-random number between 0 and 100, and then selects the rows that have an assigned number between <code>percentBegin</code> and <code>percentEnd</code>. Pseudo-random numbers are assigned using both the input seed string value and the byte offset as a seed, so changing the data results in a different split. Any existing ordering is preserved. The random splitting strategy ensures that variables in the training and evaluation data are distributed similarly. It is useful in the cases where the input data may have an implicit sort order, which would otherwise result in training and evaluation datasources containing non-similar data records. The following two <code>DataRearrangement</code> lines are examples of non-sequentially ordered training and evaluation datasources: Datasource for evaluation: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv"}}</code> Datasource for training: <code>{"splitting":{"percentBegin":70, "percentEnd":100, "strategy":"random", "randomSeed"="s3://my_s3_path/bucket/file.csv", "complement":"true"}}</code> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchema</name><description><para> A JSON string that represents the schema for an Amazon S3 <code>DataSource</code>. The <code>DataSchema</code> defines the structure of the observation data in the data file(s) referenced in the <code>DataSource</code>. You must provide either the <code>DataSchema</code> or the <code>DataSchemaLocationS3</code>. Define your <code>DataSchema</code> as a series of key-value pairs. <code>attributes</code> and <code>excludedVariableNames</code> have an array of key-value pairs for their value. Use the following format to define your <code>DataSchema</code>. { "version": "1.0", "recordAnnotationFieldName": "F1", "recordWeightFieldName": "F2", "targetFieldName": "F3", "dataFormat": "CSV", "dataFileContainsHeader": true, "attributes": [ { "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ], "excludedVariableNames": [ "F6" ] } </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>DataSpec_DataSchemaLocationS3</name><description><para>Describes the schema location in Amazon S3. You must provide either the <code>DataSchema</code> or the <code>DataSchemaLocationS3</code>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is 'DataSourceId'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateDataSourceFromS3Response). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateDataSourceFromS3Response will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>System.String or Amazon.MachineLearning.Model.CreateDataSourceFromS3Response</name><uri /><description /></type><description><para>This cmdlet returns a System.String object. The service call response (type Amazon.MachineLearning.Model.CreateDataSourceFromS3Response) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLDataSourceFromS3.html&tocid=New-MLDataSourceFromS3</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>New-MLDataSourceFromS3 -Name NAME -ComputeStatistics $true -DataSpec_DataLocationS3 "s3://BUCKET/KEY" -DataSchema SCHEMA</code><remarks><para>Description</para><para>-----------</para><para>Create a data source with data for an S3 location, with a name of NAME and a schema of SCHEMA.</para><para /><para /></remarks></example></examples></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>New-MLRealtimeEndpoint</name><description><para>Calls the Amazon Machine Learning CreateRealtimeEndpoint API operation.</para></description><verb>New</verb><noun>MLRealtimeEndpoint</noun><copyright><para>&copy; Copyright 2012 - 2023 Amazon.com, Inc.or its affiliates.All Rights Reserved.</para></copyright></details><description><para>Creates a real-time endpoint for the <code>MLModel</code>. The endpoint contains the URI of the <code>MLModel</code>; that is, the location to send real-time prediction requests for the specified <code>MLModel</code>. </para></description><syntax><syntaxItem><name>New-MLRealtimeEndpoint</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.ML.AmazonMachineLearningClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.MachineLearning.AmazonMachineLearningConfig</parameterValue><type><name>Amazon.MachineLearning.AmazonMachineLearningConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. <b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>MLModelId</name><description><para>The ID assigned to the <code>MLModel</code> during creation. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the MLModelId parameter. The -PassThru parameter is deprecated, use -Select '^MLModelId' instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials. If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse). Specifying the name of a property of type Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse object containing multiple properties. The object can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/index.html?page=New-MLRealtimeEndpoint.html&tocid=New-MLRealtimeEndpoint</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/latest/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/dg/</uri></navigationLink><navigationLink><linkText>Machine Learning Concepts:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/mlconcepts/</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/machine-learning/latest/APIReference/</uri></navigationLink></relatedLinks><examples><example><title>-------------------------- EXAMPLE 1 --------------------------</title><code>New-MLRealtimeEndpoint -ModelId ID</code><remarks><para>Description</para><para>-----------</para><para>Create a new realtime prediction endpoint for the given model id.</para><para /><para /></remarks></example></examples></command></helpItems> |