GetTrainedModelInferenceJob - AWS Clean Rooms ML

GetTrainedModelInferenceJob

Returns information about a trained model inference job.

Request Syntax

GET /memberships/membershipIdentifier/trained-model-inference-jobs/trainedModelInferenceJobArn HTTP/1.1

URI Request Parameters

The request uses the following URI parameters.

membershipIdentifier

Provides the membership ID of the membership that contains the trained model inference job that you are interested in.

Length Constraints: Fixed length of 36.

Pattern: [0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}

Required: Yes

trainedModelInferenceJobArn

Provides the Amazon Resource Name (ARN) of the trained model inference job that you are interested in.

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/trained-model-inference-job/[-a-zA-Z0-9_/.]+

Required: Yes

Request Body

The request does not have a request body.

Response Syntax

HTTP/1.1 200 Content-type: application/json { "configuredModelAlgorithmAssociationArn": "string", "containerExecutionParameters": { "maxPayloadInMB": number }, "createTime": "string", "dataSource": { "mlInputChannelArn": "string" }, "description": "string", "environment": { "string" : "string" }, "inferenceContainerImageDigest": "string", "kmsKeyArn": "string", "logsStatus": "string", "logsStatusDetails": "string", "membershipIdentifier": "string", "metricsStatus": "string", "metricsStatusDetails": "string", "name": "string", "outputConfiguration": { "accept": "string", "members": [ { "accountId": "string" } ] }, "resourceConfig": { "instanceCount": number, "instanceType": "string" }, "status": "string", "statusDetails": { "message": "string", "statusCode": "string" }, "tags": { "string" : "string" }, "trainedModelArn": "string", "trainedModelInferenceJobArn": "string", "updateTime": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

configuredModelAlgorithmAssociationArn

The Amazon Resource Name (ARN) of the configured model algorithm association that was used for the trained model inference job.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/configured-model-algorithm-association/[-a-zA-Z0-9_/.]+

containerExecutionParameters

The execution parameters for the model inference job container.

Type: InferenceContainerExecutionParameters object

createTime

The time at which the trained model inference job was created.

Type: Timestamp

dataSource

The data source that was used for the trained model inference job.

Type: ModelInferenceDataSource object

description

The description of the trained model inference job.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 255.

Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDBFF-\uDC00\uDFFF\t\r\n]*

environment

The environment variables to set in the Docker container.

Type: String to string map

Map Entries: Minimum number of 0 items. Maximum number of 16 items.

Key Length Constraints: Minimum length of 1. Maximum length of 1024.

Key Pattern: [a-zA-Z_][a-zA-Z0-9_]*

Value Length Constraints: Minimum length of 1. Maximum length of 10240.

Value Pattern: [\S\s]*

inferenceContainerImageDigest

Information about the training container image.

Type: String

kmsKeyArn

The Amazon Resource Name (ARN) of the AWS KMS key. This key is used to encrypt and decrypt customer-owned data in the ML inference job and associated data.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[-a-z]*:kms:[-a-z0-9]+:[0-9]{12}:key/.+

logsStatus

The logs status for the trained model inference job.

Type: String

Valid Values: PUBLISH_SUCCEEDED | PUBLISH_FAILED

logsStatusDetails

Details about the logs status for the trained model inference job.

Type: String

membershipIdentifier

The membership ID of the membership that contains the trained model inference job.

Type: String

Length Constraints: Fixed length of 36.

Pattern: [0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}

metricsStatus

The metrics status for the trained model inference job.

Type: String

Valid Values: PUBLISH_SUCCEEDED | PUBLISH_FAILED

metricsStatusDetails

Details about the metrics status for the trained model inference job.

Type: String

name

The name of the trained model inference job.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: (?!\s*$)[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDBFF-\uDC00\uDFFF\t]*

outputConfiguration

The output configuration information for the trained model inference job.

Type: InferenceOutputConfiguration object

resourceConfig

The resource configuration information for the trained model inference job.

Type: InferenceResourceConfig object

status

The status of the trained model inference job.

Type: String

Valid Values: CREATE_PENDING | CREATE_IN_PROGRESS | CREATE_FAILED | ACTIVE | CANCEL_PENDING | CANCEL_IN_PROGRESS | CANCEL_FAILED | INACTIVE

statusDetails

Details about the status of a resource.

Type: StatusDetails object

tags

The optional metadata that you applied to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

  • Maximum number of tags per resource - 50.

  • For each resource, each tag key must be unique, and each tag key can have only one value.

  • Maximum key length - 128 Unicode characters in UTF-8.

  • Maximum value length - 256 Unicode characters in UTF-8.

  • If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

  • Tag keys and values are case sensitive.

  • Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Type: String to string map

Map Entries: Minimum number of 0 items. Maximum number of 200 items.

Key Length Constraints: Minimum length of 1. Maximum length of 128.

Value Length Constraints: Minimum length of 0. Maximum length of 256.

trainedModelArn

The Amazon Resource Name (ARN) for the trained model that was used for the trained model inference job.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/trained-model/[-a-zA-Z0-9_/.]+

trainedModelInferenceJobArn

The Amazon Resource Name (ARN) of the trained model inference job.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:membership/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}/trained-model-inference-job/[-a-zA-Z0-9_/.]+

updateTime

The most recent time at which the trained model inference job was updated.

Type: Timestamp

Errors

For information about the errors that are common to all actions, see Common Errors.

AccessDeniedException

You do not have sufficient access to perform this action.

HTTP Status Code: 403

ResourceNotFoundException

The resource you are requesting does not exist.

HTTP Status Code: 404

ValidationException

The request parameters for this request are incorrect.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: