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Update Ml Transform

glue_update_ml_transform R Documentation

Updates an existing machine learning transform

Description

Updates an existing machine learning transform. Call this operation to tune the algorithm parameters to achieve better results.

After calling this operation, you can call the start_ml_evaluation_task_run operation to assess how well your new parameters achieved your goals (such as improving the quality of your machine learning transform, or making it more cost-effective).

Usage

glue_update_ml_transform(TransformId, Name, Description, Parameters,
  Role, GlueVersion, MaxCapacity, WorkerType, NumberOfWorkers, Timeout,
  MaxRetries)

Arguments

TransformId

[required] A unique identifier that was generated when the transform was created.

Name

The unique name that you gave the transform when you created it.

Description

A description of the transform. The default is an empty string.

Parameters

The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

Role

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

GlueVersion

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.

MaxCapacity

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.

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

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 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.

NumberOfWorkers

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

Timeout

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).

MaxRetries

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

Value

A list with the following syntax: 

list(
  TransformId = "string"
)

Request syntax

svc$update_ml_transform(
  TransformId = "string",
  Name = "string",
  Description = "string",
  Parameters = list(
    TransformType = "FIND_MATCHES",
    FindMatchesParameters = list(
      PrimaryKeyColumnName = "string",
      PrecisionRecallTradeoff = 123.0,
      AccuracyCostTradeoff = 123.0,
      EnforceProvidedLabels = TRUE|FALSE
    )
  ),
  Role = "string",
  GlueVersion = "string",
  MaxCapacity = 123.0,
  WorkerType = "Standard"|"G.1X"|"G.2X"|"G.025X"|"G.4X"|"G.8X"|"Z.2X",
  NumberOfWorkers = 123,
  Timeout = 123,
  MaxRetries = 123
)