class Aws::Glue::Types::CreateMLTransformRequest

@note When making an API call, you may pass CreateMLTransformRequest

data as a hash:

    {
      name: "NameString", # required
      description: "DescriptionString",
      input_record_tables: [ # required
        {
          database_name: "NameString", # required
          table_name: "NameString", # required
          catalog_id: "NameString",
          connection_name: "NameString",
        },
      ],
      parameters: { # required
        transform_type: "FIND_MATCHES", # required, accepts FIND_MATCHES
        find_matches_parameters: {
          primary_key_column_name: "ColumnNameString",
          precision_recall_tradeoff: 1.0,
          accuracy_cost_tradeoff: 1.0,
          enforce_provided_labels: false,
        },
      },
      role: "RoleString", # required
      glue_version: "GlueVersionString",
      max_capacity: 1.0,
      worker_type: "Standard", # accepts Standard, G.1X, G.2X
      number_of_workers: 1,
      timeout: 1,
      max_retries: 1,
      tags: {
        "TagKey" => "TagValue",
      },
      transform_encryption: {
        ml_user_data_encryption: {
          ml_user_data_encryption_mode: "DISABLED", # required, accepts DISABLED, SSE-KMS
          kms_key_id: "NameString",
        },
        task_run_security_configuration_name: "NameString",
      },
    }

@!attribute [rw] name

The unique name that you give the transform when you create it.
@return [String]

@!attribute [rw] description

A description of the machine learning transform that is being
defined. The default is an empty string.
@return [String]

@!attribute [rw] input_record_tables

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

@!attribute [rw] parameters

The algorithmic parameters that are specific to the transform type
used. Conditionally dependent on the transform type.
@return [Types::TransformParameters]

@!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.

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

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

@!attribute [rw] worker_type

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.

`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 this task runs.

If `WorkerType` is set, then `NumberOfWorkers` is required (and vice
versa).
@return [Integer]

@!attribute [rw] timeout

The timeout of the 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).
@return [Integer]

@!attribute [rw] max_retries

The maximum number of times to retry a task for this transform after
a task run fails.
@return [Integer]

@!attribute [rw] tags

The tags to use with this machine learning transform. You may use
tags to limit access to the machine learning transform. For more
information about tags in Glue, see [Amazon Web Services Tags in
Glue][1] in the developer guide.

[1]: https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html
@return [Hash<String,String>]

@!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/CreateMLTransformRequest AWS API Documentation

Constants

SENSITIVE