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",
   "trainedModelVersionIdentifier": "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
 - 
               
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_/.]+ - trainedModelVersionIdentifier
 - 
               
The version identifier of the trained model used for this inference job. This identifies the specific version of the trained model that was used to generate the inference results.
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} - 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
 - ThrottlingException
 - 
               
The request was denied due to request throttling.
HTTP Status Code: 429
 - 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: