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Class: Aws::Glue::Types::GetMLTransformResponse

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

Overview

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#created_on ⇒ Time

The date and time when the transform was created.

Returns:

  • (Time) —

    The date and time when the transform was created.

#description ⇒ String

A description of the transform.

Returns:

  • (String) —

    A description of the transform.

#evaluation_metrics ⇒ Types::EvaluationMetrics

The latest evaluation metrics.

Returns:

#glue_version ⇒ String

This value determines which version of AWS 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 AWS Glue Versions in the developer guide.

Returns:

  • (String) —

    This value determines which version of AWS Glue this machine learning transform is compatible with.

#input_record_tables ⇒ Array<Types::GlueTable>

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

Returns:

  • (Array<Types::GlueTable>) —

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

#label_count ⇒ Integer

The number of labels available for this transform.

Returns:

  • (Integer) —

    The number of labels available for this transform.

#last_modified_on ⇒ Time

The date and time when the transform was last modified.

Returns:

  • (Time) —

    The date and time when the transform was last modified.

#max_capacity ⇒ Float

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) —

    The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform.

#max_retries ⇒ Integer

The maximum number of times to retry a task for this transform after a task run fails.

Returns:

  • (Integer) —

    The maximum number of times to retry a task for this transform after a task run fails.

#name ⇒ String

The unique name given to the transform when it was created.

Returns:

  • (String) —

    The unique name given to the transform when it was created.

#number_of_workers ⇒ Integer

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

Returns:

  • (Integer) —

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

#parameters ⇒ Types::TransformParameters

The configuration parameters that are specific to the algorithm used.

Returns:

#role ⇒ String

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.

Returns:

  • (String) —

    The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.

#schema ⇒ Array<Types::SchemaColumn>

The Map<Column, Type> object that represents the schema that this transform accepts. Has an upper bound of 100 columns.

Returns:

  • (Array<Types::SchemaColumn>) —

    The Map<Column, Type> object that represents the schema that this transform accepts.

#status ⇒ String

The last known status of the transform (to indicate whether it can be used or not). One of \"NOT_READY\", \"READY\", or \"DELETING\".

Possible values:

  • NOT_READY
  • READY
  • DELETING

Returns:

  • (String) —

    The last known status of the transform (to indicate whether it can be used or not).

#timeout ⇒ Integer

The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

Returns:

  • (Integer) —

    The timeout for a task run for this transform in minutes.

#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:

#transform_id ⇒ String

The unique identifier of the transform, generated at the time that the transform was created.

Returns:

  • (String) —

    The unique identifier of the transform, generated at the time that the transform was created.

#worker_type ⇒ String

The type of predefined worker that is allocated when this task 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.

    Possible values:

    • Standard
    • G.1X
    • G.2X

Returns:

  • (String) —

    The type of predefined worker that is allocated when this task runs.