class Aws::Glue::Types::MLTransform

A structure for a machine learning transform.

@!attribute [rw] transform_id

The unique transform ID that is generated for the machine learning
transform. The ID is guaranteed to be unique and does not change.
@return [String]

@!attribute [rw] name

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

@!attribute [rw] description

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.
@return [String]

@!attribute [rw] status

The current status of the machine learning transform.
@return [String]

@!attribute [rw] created_on

A timestamp. The time and date that this machine learning transform
was created.
@return [Time]

@!attribute [rw] last_modified_on

A timestamp. The last point in time when this machine learning
transform was modified.
@return [Time]

@!attribute [rw] input_record_tables

A list of Glue table definitions used by the transform.
@return [Array<Types::GlueTable>]

@!attribute [rw] parameters

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).
@return [Types::TransformParameters]

@!attribute [rw] evaluation_metrics

An `EvaluationMetrics` object. Evaluation metrics provide an
estimate of the quality of your machine learning transform.
@return [Types::EvaluationMetrics]

@!attribute [rw] label_count

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.
@return [Integer]

@!attribute [rw] schema

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.
@return [Array<Types::SchemaColumn>]

@!attribute [rw] role

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][1].

* 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.

[1]: https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html
@return [String]

@!attribute [rw] glue_version

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][1] in the
developer guide.

[1]: https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions
@return [String]

@!attribute [rw] max_capacity

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][1].

`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.

[1]: http://aws.amazon.com/glue/pricing/
@return [Float]

@!attribute [rw] worker_type

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.
@return [String]

@!attribute [rw] number_of_workers

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).
@return [Integer]

@!attribute [rw] timeout

The timeout in minutes of the machine learning transform.
@return [Integer]

@!attribute [rw] max_retries

The maximum number of times to retry after an `MLTaskRun` of the
machine learning transform fails.
@return [Integer]

@!attribute [rw] transform_encryption

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.
@return [Types::TransformEncryption]

@see docs.aws.amazon.com/goto/WebAPI/glue-2017-03-31/MLTransform AWS API Documentation

Constants

SENSITIVE