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Get Trained Model Inference Job

cleanroomsml_get_trained_model_inference_job R Documentation

Returns information about a trained model inference job

Description

Returns information about a trained model inference job.

Usage

cleanroomsml_get_trained_model_inference_job(membershipIdentifier,
  trainedModelInferenceJobArn)

Arguments

membershipIdentifier

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

trainedModelInferenceJobArn

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

Value

A list with the following syntax:

list(
  createTime = as.POSIXct(
    "2015-01-01"
  ),
  updateTime = as.POSIXct(
    "2015-01-01"
  ),
  trainedModelInferenceJobArn = "string",
  configuredModelAlgorithmAssociationArn = "string",
  name = "string",
  status = "CREATE_PENDING"|"CREATE_IN_PROGRESS"|"CREATE_FAILED"|"ACTIVE"|"CANCEL_PENDING"|"CANCEL_IN_PROGRESS"|"CANCEL_FAILED"|"INACTIVE",
  trainedModelArn = "string",
  resourceConfig = list(
    instanceType = "ml.r7i.48xlarge"|"ml.r6i.16xlarge"|"ml.m6i.xlarge"|"ml.m5.4xlarge"|"ml.p2.xlarge"|"ml.m4.16xlarge"|"ml.r7i.16xlarge"|"ml.m7i.xlarge"|"ml.m6i.12xlarge"|"ml.r7i.8xlarge"|"ml.r7i.large"|"ml.m7i.12xlarge"|"ml.m6i.24xlarge"|"ml.m7i.24xlarge"|"ml.r6i.8xlarge"|"ml.r6i.large"|"ml.g5.2xlarge"|"ml.m5.large"|"ml.p3.16xlarge"|"ml.m7i.48xlarge"|"ml.m6i.16xlarge"|"ml.p2.16xlarge"|"ml.g5.4xlarge"|"ml.m7i.16xlarge"|"ml.c4.2xlarge"|"ml.c5.2xlarge"|"ml.c6i.32xlarge"|"ml.c4.4xlarge"|"ml.g5.8xlarge"|"ml.c6i.xlarge"|"ml.c5.4xlarge"|"ml.g4dn.xlarge"|"ml.c7i.xlarge"|"ml.c6i.12xlarge"|"ml.g4dn.12xlarge"|"ml.c7i.12xlarge"|"ml.c6i.24xlarge"|"ml.g4dn.2xlarge"|"ml.c7i.24xlarge"|"ml.c7i.2xlarge"|"ml.c4.8xlarge"|"ml.c6i.2xlarge"|"ml.g4dn.4xlarge"|"ml.c7i.48xlarge"|"ml.c7i.4xlarge"|"ml.c6i.16xlarge"|"ml.c5.9xlarge"|"ml.g4dn.16xlarge"|"ml.c7i.16xlarge"|"ml.c6i.4xlarge"|"ml.c5.xlarge"|"ml.c4.xlarge"|"ml.g4dn.8xlarge"|"ml.c7i.8xlarge"|"ml.c7i.large"|"ml.g5.xlarge"|"ml.c6i.8xlarge"|"ml.c6i.large"|"ml.g5.12xlarge"|"ml.g5.24xlarge"|"ml.m7i.2xlarge"|"ml.c5.18xlarge"|"ml.g5.48xlarge"|"ml.m6i.2xlarge"|"ml.g5.16xlarge"|"ml.m7i.4xlarge"|"ml.p3.2xlarge"|"ml.r6i.32xlarge"|"ml.m6i.4xlarge"|"ml.m5.xlarge"|"ml.m4.10xlarge"|"ml.r6i.xlarge"|"ml.m5.12xlarge"|"ml.m4.xlarge"|"ml.r7i.2xlarge"|"ml.r7i.xlarge"|"ml.r6i.12xlarge"|"ml.m5.24xlarge"|"ml.r7i.12xlarge"|"ml.m7i.8xlarge"|"ml.m7i.large"|"ml.r6i.24xlarge"|"ml.r6i.2xlarge"|"ml.m4.2xlarge"|"ml.r7i.24xlarge"|"ml.r7i.4xlarge"|"ml.m6i.8xlarge"|"ml.m6i.large"|"ml.m5.2xlarge"|"ml.p2.8xlarge"|"ml.r6i.4xlarge"|"ml.m6i.32xlarge"|"ml.p3.8xlarge"|"ml.m4.4xlarge",
    instanceCount = 123
  ),
  outputConfiguration = list(
    accept = "string",
    members = list(
      list(
        accountId = "string"
      )
    )
  ),
  membershipIdentifier = "string",
  dataSource = list(
    mlInputChannelArn = "string"
  ),
  containerExecutionParameters = list(
    maxPayloadInMB = 123
  ),
  statusDetails = list(
    statusCode = "string",
    message = "string"
  ),
  description = "string",
  inferenceContainerImageDigest = "string",
  environment = list(
    "string"
  ),
  kmsKeyArn = "string",
  metricsStatus = "PUBLISH_SUCCEEDED"|"PUBLISH_FAILED",
  metricsStatusDetails = "string",
  logsStatus = "PUBLISH_SUCCEEDED"|"PUBLISH_FAILED",
  logsStatusDetails = "string",
  tags = list(
    "string"
  )
)

Request syntax

svc$get_trained_model_inference_job(
  membershipIdentifier = "string",
  trainedModelInferenceJobArn = "string"
)