CreateMLTransformRequest
¶
Source code in docs_src/capo_glue/types/create_ml_transform_request.py
description
instance-attribute
¶
description: NotRequired[DescriptionString]
A description of the machine learning transform that is being defined. The default is an empty string.
glue_version
instance-attribute
¶
glue_version: NotRequired[GlueVersionString]
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.
input_record_tables
instance-attribute
¶
input_record_tables: GlueTables
A list of Glue table definitions used by the transform.
max_capacity
instance-attribute
¶
max_capacity: NotRequired[NullableDouble]
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
NumberOfWorkersorWorkerTypeis set, thenMaxCapacitycannot be set. -
If
MaxCapacityis set then neitherNumberOfWorkersorWorkerTypecan be set. -
If
WorkerTypeis set, thenNumberOfWorkersis required (and vice versa). -
MaxCapacityandNumberOfWorkersmust 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.
max_retries
instance-attribute
¶
max_retries: NotRequired[NullableInteger]
The maximum number of times to retry a task for this transform after a task run fails.
name
instance-attribute
¶
name: NameString
The unique name that you give the transform when you create it.
number_of_workers
instance-attribute
¶
number_of_workers: NotRequired[NullableInteger]
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).
parameters
instance-attribute
¶
parameters: TransformParameters
The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.
role
instance-attribute
¶
role: RoleString
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.
tags
instance-attribute
¶
tags: NotRequired[TagsMap]
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 in the developer guide.
timeout
instance-attribute
¶
timeout: NotRequired[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).
transform_encryption
instance-attribute
¶
transform_encryption: NotRequired[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.
worker_type
instance-attribute
¶
worker_type: NotRequired[WorkerType]
The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.
-
For the
Standardworker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. -
For the
G.1Xworker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker. -
For the
G.2Xworker 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
NumberOfWorkersorWorkerTypeis set, thenMaxCapacitycannot be set. -
If
MaxCapacityis set then neitherNumberOfWorkersorWorkerTypecan be set. -
If
WorkerTypeis set, thenNumberOfWorkersis required (and vice versa). -
MaxCapacityandNumberOfWorkersmust both be at least 1.