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

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

Overview

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#app_specification ⇒ Types::AppSpecification

Configures the processing job to run a specified container image.

Returns:

#auto_ml_job_arn ⇒ String

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_time ⇒ Time

The time at which the processing job was created.

Returns:

  • (Time) —

    The time at which the processing job was created.

#environment ⇒ Hash<String,String>

The environment variables set in the Docker container.

Returns:

  • (Hash<String,String>) —

    The environment variables set in the Docker container.

#exit_message ⇒ String

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_config ⇒ Types::ExperimentConfig

The configuration information used to create an experiment.

Returns:

#failure_reason ⇒ String

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_time ⇒ Time

The time at which the processing job was last modified.

Returns:

  • (Time) —

    The time at which the processing job was last modified.

#monitoring_schedule_arn ⇒ String

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_config ⇒ Types::NetworkConfig

Networking options for a processing job.

Returns:

#processing_end_time ⇒ Time

The time at which the processing job completed.

Returns:

  • (Time) —

    The time at which the processing job completed.

#processing_inputs ⇒ Array<Types::ProcessingInput>

The inputs for a processing job.

Returns:

#processing_job_arn ⇒ String

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

Returns:

  • (String) —

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

#processing_job_name ⇒ String

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_status ⇒ String

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_config ⇒ Types::ProcessingOutputConfig

Output configuration for the processing job.

Returns:

#processing_resources ⇒ Types::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_time ⇒ Time

The time at which the processing job started.

Returns:

  • (Time) —

    The time at which the processing job started.

#role_arn ⇒ String

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_condition ⇒ Types::ProcessingStoppingCondition

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

Returns:

#training_job_arn ⇒ String

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

Returns:

  • (String) —

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