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
-
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: