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Class: Aws::SageMaker::Types::ProcessingJob

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

Overview

An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#app_specification ⇒ Types::AppSpecification

Configuration to run a processing job in a specified container image.

Returns:

#auto_ml_job_arn ⇒ String

The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

Returns:

  • (String) —

    The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

#creation_time ⇒ Time

The time the processing job was created.

Returns:

  • (Time) —

    The time the processing job was created.

#environment ⇒ Hash<String,String>

Sets the environment variables in the Docker container.

Returns:

  • (Hash<String,String>) —

    Sets the environment variables in the Docker container.

#exit_message ⇒ String

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

Returns:

  • (String) —

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

#experiment_config ⇒ Types::ExperimentConfig

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

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 the processing job was last modified.

Returns:

  • (Time) —

    The time 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 job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.

Returns:

  • (Types::NetworkConfig) —

    Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.

    .

#processing_end_time ⇒ Time

The time that the processing job ended.

Returns:

  • (Time) —

    The time that the processing job ended.

#processing_inputs ⇒ Array<Types::ProcessingInput>

For each input, data is downloaded from S3 into the processing container before the processing job begins running if \"S3InputMode\" is set to File.

Returns:

  • (Array<Types::ProcessingInput>) —

    For each input, data is downloaded from S3 into the processing container before the processing job begins running if \"S3InputMode\" is set to File.

#processing_job_arn ⇒ String

The ARN of the processing job.

Returns:

  • (String) —

    The ARN of the processing job.

#processing_job_name ⇒ String

The name of the processing job.

Returns:

  • (String) —

    The name of the processing job.

#processing_job_status ⇒ String

The status of the processing job.

Possible values:

  • InProgress
  • Completed
  • Failed
  • Stopping
  • Stopped

Returns:

  • (String) —

    The status of the processing job.

#processing_output_config ⇒ Types::ProcessingOutputConfig

The 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 that the processing job started.

Returns:

  • (Time) —

    The time that the processing job started.

#role_arn ⇒ String

The ARN of the role used to create the processing job.

Returns:

  • (String) —

    The ARN of the role used to create the processing job.

#stopping_condition ⇒ Types::ProcessingStoppingCondition

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

Returns:

#tags ⇒ Array<Types::Tag>

An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.

Returns:

  • (Array<Types::Tag>) —

    An array of key-value pairs.

#training_job_arn ⇒ String

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

Returns:

  • (String) —

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