AWS Tools for Windows PowerShell
Command Reference

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Synopsis

Calls the Amazon SageMaker Service CreateInferenceExperiment API operation.

Syntax

New-SMInferenceExperiment
-ContentType_CsvContentType <String[]>
-Description <String>
-DataStorageConfig_Destination <String>
-EndpointName <String>
-Schedule_EndTime <DateTime>
-ContentType_JsonContentType <String[]>
-DataStorageConfig_KmsKey <String>
-KmsKey <String>
-ModelVariant <ModelVariantConfig[]>
-Name <String>
-RoleArn <String>
-ShadowModeConfig_ShadowModelVariant <ShadowModelVariantConfig[]>
-ShadowModeConfig_SourceModelVariantName <String>
-Schedule_StartTime <DateTime>
-Tag <Tag[]>
-Type <InferenceExperimentType>
-Select <String>
-Force <SwitchParameter>
-ClientConfig <AmazonSageMakerConfig>

Description

Creates an inference experiment using the configurations specified in the request. Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests. Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration. While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.

Parameters

-ClientConfig <AmazonSageMakerConfig>
Amazon.PowerShell.Cmdlets.SM.AmazonSageMakerClientCmdlet.ClientConfig
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ContentType_CsvContentType <String[]>
The list of all content type headers that Amazon SageMaker AI will treat as CSV and capture accordingly.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDataStorageConfig_ContentType_CsvContentTypes
-ContentType_JsonContentType <String[]>
The list of all content type headers that SageMaker AI will treat as JSON and capture accordingly.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDataStorageConfig_ContentType_JsonContentTypes
-DataStorageConfig_Destination <String>
The Amazon S3 bucket where the inference request and response data is stored.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-DataStorageConfig_KmsKey <String>
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Description <String>
A description for the inference experiment.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EndpointName <String>
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
-Force <SwitchParameter>
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-KmsKey <String>
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. The KmsKey can be any of the following formats:
  • KMS key ID"1234abcd-12ab-34cd-56ef-1234567890ab"
  • Amazon Resource Name (ARN) of a KMS key"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
  • KMS key Alias"alias/ExampleAlias"
  • Amazon Resource Name (ARN) of a KMS key Alias"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS managed Encryption Keys in the Amazon Simple Storage Service Developer Guide. The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ModelVariant <ModelVariantConfig[]>
An array of ModelVariantConfig objects. There is one for each variant in the inference experiment. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesModelVariants
-Name <String>
The name for the inference experiment.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
-RoleArn <String>
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
-Schedule_EndTime <DateTime>
The timestamp at which the inference experiment ended or will end.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Schedule_StartTime <DateTime>
The timestamp at which the inference experiment started or will start.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Select <String>
Use the -Select parameter to control the cmdlet output. The default value is 'InferenceExperimentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateInferenceExperimentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateInferenceExperimentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ShadowModeConfig_ShadowModelVariant <ShadowModelVariantConfig[]>
List of shadow variant configurations.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesShadowModeConfig_ShadowModelVariants
-ShadowModeConfig_SourceModelVariantName <String>
The name of the production variant, which takes all the inference requests.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
-Tag <Tag[]>
Array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging your Amazon Web Services Resources.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesTags
-Type <InferenceExperimentType>
The type of the inference experiment that you want to run. The following types of experiments are possible:
  • ShadowMode: You can use this type to validate a shadow variant. For more information, see Shadow tests.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)

Common Credential and Region Parameters

-AccessKey <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesAK
-Credential <AWSCredentials>
An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials.
Required?False
Position?Named
Accept pipeline input?True (ByValue, ByPropertyName)
-EndpointUrl <String>
The endpoint to make the call against.Note: 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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-NetworkCredential <PSCredential>
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.
Required?False
Position?Named
Accept pipeline input?True (ByValue, ByPropertyName)
-ProfileLocation <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesAWSProfilesLocation, ProfilesLocation
-ProfileName <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesStoredCredentials, AWSProfileName
-Region <Object>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesRegionToCall
-SecretKey <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesSK, SecretAccessKey
-SessionToken <String>
The session token if the access and secret keys are temporary session-based credentials.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesST

Outputs

System.String or Amazon.SageMaker.Model.CreateInferenceExperimentResponse
This cmdlet returns a System.String object. The service call response (type Amazon.SageMaker.Model.CreateInferenceExperimentResponse) can be returned by specifying '-Select *'.
Developer Guide
Service API Reference
AWS Tools for PowerShell User Guide

Supported Version

AWS Tools for PowerShell: 2.x.y.z