Class: Aws::SageMaker::Types::TransformJob

Inherits:

Struct

Object
Struct
Aws::SageMaker::Types::TransformJob

show all

Includes:: Aws::Structure

Defined in:: lib/aws-sdk-sagemaker/types.rb

Overview

A batch transform job. For information about SageMaker batch transform, see [Use Batch Transform].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/batch-transform.html

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#auto_ml_job_arn ⇒ String

The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
#batch_strategy ⇒ String

Specifies the number of records to include in a mini-batch for an HTTP inference request.
#creation_time ⇒ Time

A timestamp that shows when the transform Job was created.
#data_capture_config ⇒ Types::BatchDataCaptureConfig

Configuration to control how SageMaker captures inference data for batch transform jobs.
#data_processing ⇒ Types::DataProcessing

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output.
#environment ⇒ Hash<String,String>

The environment variables to set in the Docker container.
#experiment_config ⇒ Types::ExperimentConfig

Associates a SageMaker job as a trial component with an experiment and trial.
#failure_reason ⇒ String

If the transform job failed, the reason it failed.
#labeling_job_arn ⇒ String

The Amazon Resource Name (ARN) of the labeling job that created the transform job.
#max_concurrent_transforms ⇒ Integer

The maximum number of parallel requests that can be sent to each instance in a transform job.
#max_payload_in_mb ⇒ Integer

The maximum allowed size of the payload, in MB.
#model_client_config ⇒ Types::ModelClientConfig

Configures the timeout and maximum number of retries for processing a transform job invocation.
#model_name ⇒ String

The name of the model associated with the transform job.
#tags ⇒ Array<Types::Tag>

A list of tags associated with the transform job.
#transform_end_time ⇒ Time

Indicates when the transform job has been completed, or has stopped or failed.
#transform_input ⇒ Types::TransformInput

Describes the input source of a transform job and the way the transform job consumes it.
#transform_job_arn ⇒ String

The Amazon Resource Name (ARN) of the transform job.
#transform_job_name ⇒ String

The name of the transform job.
#transform_job_status ⇒ String

The status of the transform job.
#transform_output ⇒ Types::TransformOutput

Describes the results of a transform job.
#transform_resources ⇒ Types::TransformResources

Describes the resources, including ML instance types and ML instance count, to use for transform job.
#transform_start_time ⇒ Time

Indicates when the transform job starts on ML instances.

Instance Attribute Details

#auto_ml_job_arn ⇒ `String`

The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#batch_strategy ⇒ `String`

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#creation_time ⇒ `Time`

A timestamp that shows when the transform Job was created.

Returns:

(Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#data_capture_config ⇒ `Types::BatchDataCaptureConfig`

Configuration to control how SageMaker captures inference data for batch transform jobs.

Returns:

(Types::BatchDataCaptureConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#data_processing ⇒ `Types::DataProcessing`

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see [Associate Prediction Results with their Corresponding Input Records].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html

Returns:

(Types::DataProcessing)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#environment ⇒ `Hash<String,String>`

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

Returns:

(Hash<String,String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#experiment_config ⇒ `Types::ExperimentConfig`

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

CreateProcessingJob][1
CreateTrainingJob][2
CreateTransformJob][3

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html [2]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html [3]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html

Returns:

(Types::ExperimentConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#failure_reason ⇒ `String`

If the transform job failed, the reason it failed.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#labeling_job_arn ⇒ `String`

The Amazon Resource Name (ARN) of the labeling job that created the transform job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#max_concurrent_transforms ⇒ `Integer`

The maximum number of parallel requests that can be sent to each instance in a transform job. If ‘MaxConcurrentTransforms` is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is

For built-in algorithms, you don’t need to set a value for

‘MaxConcurrentTransforms`.

Returns:

(Integer)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#max_payload_in_mb ⇒ `Integer`

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in ‘MaxPayloadInMB` must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

Returns:

(Integer)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#model_client_config ⇒ `Types::ModelClientConfig`

Configures the timeout and maximum number of retries for processing a transform job invocation.

Returns:

(Types::ModelClientConfig)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#model_name ⇒ `String`

The name of the model associated with the transform job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ `Array<Types::Tag>`

A list of tags associated with the transform job.

Returns:

(Array<Types::Tag>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_end_time ⇒ `Time`

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of ‘TransformStartTime`.

Returns:

(Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_input ⇒ `Types::TransformInput`

Describes the input source of a transform job and the way the transform job consumes it.

Returns:

(Types::TransformInput)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_job_arn ⇒ `String`

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

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_job_name ⇒ `String`

The name of the transform job.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_job_status ⇒ `String`

The status of the transform job.

Transform job statuses are:

‘InProgress` - The job is in progress.
‘Completed` - The job has completed.
‘Failed` - The transform job has failed. To see the reason for the failure, see the `FailureReason` field in the response to a `DescribeTransformJob` call.
‘Stopping` - The transform job is stopping.
‘Stopped` - The transform job has stopped.

Returns:

(String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_output ⇒ `Types::TransformOutput`

Describes the results of a transform job.

Returns:

(Types::TransformOutput)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_resources ⇒ `Types::TransformResources`

Describes the resources, including ML instance types and ML instance count, to use for transform job.

Returns:

(Types::TransformResources)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#transform_start_time ⇒ `Time`

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of ‘TransformEndTime`.

Returns:

(Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 44005

class TransformJob < Struct.new(
  :transform_job_name,
  :transform_job_arn,
  :transform_job_status,
  :failure_reason,
  :model_name,
  :max_concurrent_transforms,
  :model_client_config,
  :max_payload_in_mb,
  :batch_strategy,
  :environment,
  :transform_input,
  :transform_output,
  :data_capture_config,
  :transform_resources,
  :creation_time,
  :transform_start_time,
  :transform_end_time,
  :labeling_job_arn,
  :auto_ml_job_arn,
  :data_processing,
  :experiment_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

Class: Aws::SageMaker::Types::TransformJob

Overview

Constant Summary collapse

Instance Attribute Summary collapse

Instance Attribute Details

#auto_ml_job_arn ⇒ String

#batch_strategy ⇒ String

#creation_time ⇒ Time

#data_capture_config ⇒ Types::BatchDataCaptureConfig

#data_processing ⇒ Types::DataProcessing

#environment ⇒ Hash<String,String>

#experiment_config ⇒ Types::ExperimentConfig

#failure_reason ⇒ String

#labeling_job_arn ⇒ String

#max_concurrent_transforms ⇒ Integer

#max_payload_in_mb ⇒ Integer

#model_client_config ⇒ Types::ModelClientConfig

#model_name ⇒ String

#tags ⇒ Array<Types::Tag>

#transform_end_time ⇒ Time

#transform_input ⇒ Types::TransformInput

#transform_job_arn ⇒ String

#transform_job_name ⇒ String

#transform_job_status ⇒ String

#transform_output ⇒ Types::TransformOutput

#transform_resources ⇒ Types::TransformResources

#transform_start_time ⇒ Time

#auto_ml_job_arn ⇒ `String`

#batch_strategy ⇒ `String`

#creation_time ⇒ `Time`

#data_capture_config ⇒ `Types::BatchDataCaptureConfig`

#data_processing ⇒ `Types::DataProcessing`

#environment ⇒ `Hash<String,String>`

#experiment_config ⇒ `Types::ExperimentConfig`

#failure_reason ⇒ `String`

#labeling_job_arn ⇒ `String`

#max_concurrent_transforms ⇒ `Integer`

#max_payload_in_mb ⇒ `Integer`

#model_client_config ⇒ `Types::ModelClientConfig`

#model_name ⇒ `String`

#tags ⇒ `Array<Types::Tag>`

#transform_end_time ⇒ `Time`

#transform_input ⇒ `Types::TransformInput`

#transform_job_arn ⇒ `String`

#transform_job_name ⇒ `String`

#transform_job_status ⇒ `String`

#transform_output ⇒ `Types::TransformOutput`

#transform_resources ⇒ `Types::TransformResources`

#transform_start_time ⇒ `Time`