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Class: Aws::Glue::Types::MLTransform

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb

Overview

A structure for a machine learning transform.

Instance Attribute Summary collapse

Instance Attribute Details

#created_onTime

A timestamp. The time and date that this machine learning transform was created.

Returns:

  • (Time)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#descriptionString

A user-defined, long-form description text for the machine learning transform. Descriptions are not guaranteed to be unique and can be changed at any time.

Returns:

  • (String)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#evaluation_metricsTypes::EvaluationMetrics

An EvaluationMetrics object. Evaluation metrics provide an estimate of the quality of your machine learning transform.



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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#input_record_tablesArray<Types::GlueTable>

A list of AWS Glue table definitions used by the transform.

Returns:



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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#label_countInteger

A count identifier for the labeling files generated by AWS Glue for this transform. As you create a better transform, you can iteratively download, label, and upload the labeling file.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#last_modified_onTime

A timestamp. The last point in time when this machine learning transform was modified.

Returns:

  • (Time)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#max_capacityFloat

The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

Returns:

  • (Float)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#max_retriesInteger

The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#nameString

A user-defined name for the machine learning transform. Names are not guaranteed unique and can be changed at any time.

Returns:

  • (String)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#number_of_workersInteger

The number of workers of a defined workerType that are allocated when a task of the transform runs.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#parametersTypes::TransformParameters

A TransformParameters object. You can use parameters to tune (customize) the behavior of the machine learning transform by specifying what data it learns from and your preference on various tradeoffs (such as precious vs. recall, or accuracy vs. cost).



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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#roleString

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

Returns:

  • (String)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#schemaArray<Types::SchemaColumn>

A map of key-value pairs representing the columns and data types that this transform can run against. Has an upper bound of 100 columns.

Returns:



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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#statusString

The current status of the machine learning transform.

Returns:

  • (String)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#timeoutInteger

The timeout in minutes of the machine learning transform.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#transform_idString

The unique transform ID that is generated for the machine learning transform. The ID is guaranteed to be unique and does not change.

Returns:

  • (String)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end

#worker_typeString

The type of predefined worker that is allocated when a task of this transform runs. Accepts a value of Standard, G.1X, or G.2X.

  • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

  • For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

  • For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

Returns:

  • (String)


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# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 8359

class MLTransform < Struct.new(
  :transform_id,
  :name,
  :description,
  :status,
  :created_on,
  :last_modified_on,
  :input_record_tables,
  :parameters,
  :evaluation_metrics,
  :label_count,
  :schema,
  :role,
  :max_capacity,
  :worker_type,
  :number_of_workers,
  :timeout,
  :max_retries)
  include Aws::Structure
end