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

Inherits:

Struct

Object
Struct
Aws::Glue::Types::MLTransform

show all

Defined in:: gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb

Overview

A structure for a machine learning transform.

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#created_on ⇒ Time
A timestamp.
#description ⇒ String
A user-defined, long-form description text for the machine learning transform.
#evaluation_metrics ⇒ Types::EvaluationMetrics
An EvaluationMetrics object.
#glue_version ⇒ String
This value determines which version of Glue this machine learning transform is compatible with.
#input_record_tables ⇒ Array<Types::GlueTable>
A list of Glue table definitions used by the transform.
#label_count ⇒ Integer
A count identifier for the labeling files generated by Glue for this transform.
#last_modified_on ⇒ Time
A timestamp.
#max_capacity ⇒ Float
The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
#max_retries ⇒ Integer
The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.
#name ⇒ String
A user-defined name for the machine learning transform.
#number_of_workers ⇒ Integer
The number of workers of a defined workerType that are allocated when a task of the transform runs.
#parameters ⇒ Types::TransformParameters
A TransformParameters object.
#role ⇒ String
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
#schema ⇒ Array<Types::SchemaColumn>
A map of key-value pairs representing the columns and data types that this transform can run against.
#status ⇒ String
The current status of the machine learning transform.
#timeout ⇒ Integer
The timeout in minutes of the machine learning transform.
#transform_encryption ⇒ Types::TransformEncryption
The encryption-at-rest settings of the transform that apply to accessing user data.
#transform_id ⇒ String
The unique transform ID that is generated for the machine learning transform.
#worker_type ⇒ String
The type of predefined worker that is allocated when a task of this transform runs.

Instance Attribute Details

#created_on ⇒ `Time`

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

Returns:

(Time)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#description ⇒ `String`

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)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#evaluation_metrics ⇒ `Types::EvaluationMetrics`

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

Returns:

(Types::EvaluationMetrics)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#glue_version ⇒ `String`

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

Returns:

(String)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#input_record_tables ⇒ `Array<Types::GlueTable>`

A list of Glue table definitions used by the transform.

Returns:

(Array<Types::GlueTable>)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#label_count ⇒ `Integer`

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

Returns:

(Integer)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#last_modified_on ⇒ `Time`

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

Returns:

(Time)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#max_capacity ⇒ `Float`

The number of 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 Glue pricing page.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.
If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.
If WorkerType is set, then NumberOfWorkers is required (and vice versa).
MaxCapacity and NumberOfWorkers must both be at least 1.

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

Returns:

(Float)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#max_retries ⇒ `Integer`

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

Returns:

(Integer)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#name ⇒ `String`

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

Returns:

(String)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#number_of_workers ⇒ `Integer`

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

If WorkerType is set, then NumberOfWorkers is required (and vice versa).

Returns:

(Integer)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#parameters ⇒ `Types::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).

Returns:

(Types::TransformParameters)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#role ⇒ `String`

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.

This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.
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)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#schema ⇒ `Array<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:

(Array<Types::SchemaColumn>)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#status ⇒ `String`

The current status of the machine learning transform.

Returns:

(String)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#timeout ⇒ `Integer`

The timeout in minutes of the machine learning transform.

Returns:

(Integer)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#transform_encryption ⇒ `Types::TransformEncryption`

The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.

Returns:

(Types::TransformEncryption)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#transform_id ⇒ `String`

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)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

#worker_type ⇒ `String`

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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.
If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.
If WorkerType is set, then NumberOfWorkers is required (and vice versa).
MaxCapacity and NumberOfWorkers must both be at least 1.

Returns:

(String)

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/types.rb', line 15782

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

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

Overview

Constant Summary collapse

Instance Attribute Summary collapse

Instance Attribute Details

#created_on ⇒ Time

#description ⇒ String

#evaluation_metrics ⇒ Types::EvaluationMetrics

#glue_version ⇒ String

#input_record_tables ⇒ Array<Types::GlueTable>

#label_count ⇒ Integer

#last_modified_on ⇒ Time

#max_capacity ⇒ Float

#max_retries ⇒ Integer

#name ⇒ String

#number_of_workers ⇒ Integer

#parameters ⇒ Types::TransformParameters

#role ⇒ String

#schema ⇒ Array<Types::SchemaColumn>

#status ⇒ String

#timeout ⇒ Integer

#transform_encryption ⇒ Types::TransformEncryption

#transform_id ⇒ String

#worker_type ⇒ String

#created_on ⇒ `Time`

#description ⇒ `String`

#evaluation_metrics ⇒ `Types::EvaluationMetrics`

#glue_version ⇒ `String`

#input_record_tables ⇒ `Array<Types::GlueTable>`

#label_count ⇒ `Integer`

#last_modified_on ⇒ `Time`

#max_capacity ⇒ `Float`

#max_retries ⇒ `Integer`

#name ⇒ `String`

#number_of_workers ⇒ `Integer`

#parameters ⇒ `Types::TransformParameters`

#role ⇒ `String`

#schema ⇒ `Array<Types::SchemaColumn>`

#status ⇒ `String`

#timeout ⇒ `Integer`

#transform_encryption ⇒ `Types::TransformEncryption`

#transform_id ⇒ `String`

#worker_type ⇒ `String`