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Class: Aws::SageMaker::Types::DescribeProcessingJobResponse

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Instance Attribute Summary collapse

Instance Attribute Details

#app_specificationTypes::AppSpecification

Configures the processing job to run a specified container image.

Returns:

#auto_ml_job_arnString

The ARN of an AutoML job associated with this processing job.

Returns:

  • (String)

    The ARN of an AutoML job associated with this processing job.

#creation_timeTime

The time at which the processing job was created.

Returns:

  • (Time)

    The time at which the processing job was created.

#environmentHash<String,String>

The environment variables set in the Docker container.

Returns:

  • (Hash<String,String>)

    The environment variables set in the Docker container.

#exit_messageString

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

Returns:

  • (String)

    An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

#experiment_configTypes::ExperimentConfig

The configuration information used to create an experiment.

Returns:

#failure_reasonString

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

Returns:

  • (String)

    A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

#last_modified_timeTime

The time at which the processing job was last modified.

Returns:

  • (Time)

    The time at which the processing job was last modified.

#monitoring_schedule_arnString

The ARN of a monitoring schedule for an endpoint associated with this processing job.

Returns:

  • (String)

    The ARN of a monitoring schedule for an endpoint associated with this processing job.

#network_configTypes::NetworkConfig

Networking options for a processing job.

Returns:

#processing_end_timeTime

The time at which the processing job completed.

Returns:

  • (Time)

    The time at which the processing job completed.

#processing_inputsArray<Types::ProcessingInput>

The inputs for a processing job.

Returns:

#processing_job_arnString

The Amazon Resource Name (ARN) of the processing job.

Returns:

  • (String)

    The Amazon Resource Name (ARN) of the processing job.

#processing_job_nameString

The name of the processing job. The name must be unique within an AWS Region in the AWS account.

Returns:

  • (String)

    The name of the processing job.

#processing_job_statusString

Provides the status of a processing job.

Possible values:

  • InProgress
  • Completed
  • Failed
  • Stopping
  • Stopped

Returns:

  • (String)

    Provides the status of a processing job.

#processing_output_configTypes::ProcessingOutputConfig

Output configuration for the processing job.

Returns:

#processing_resourcesTypes::ProcessingResources

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

Returns:

  • (Types::ProcessingResources)

    Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.

#processing_start_timeTime

The time at which the processing job started.

Returns:

  • (Time)

    The time at which the processing job started.

#role_arnString

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

Returns:

  • (String)

    The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

#stopping_conditionTypes::ProcessingStoppingCondition

The time limit for how long the processing job is allowed to run.

Returns:

#training_job_arnString

The ARN of a training job associated with this processing job.

Returns:

  • (String)

    The ARN of a training job associated with this processing job.