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Class: Aws::Glue::Types::UpdateMLTransformRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::Glue::Types::UpdateMLTransformRequest
- Defined in:
- (unknown)
Overview
When passing UpdateMLTransformRequest as input to an Aws::Client method, you can use a vanilla Hash:
{
transform_id: "HashString", # required
name: "NameString",
description: "DescriptionString",
parameters: {
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",
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,
}
Instance Attribute Summary collapse
-
#description ⇒ String
A description of the transform.
-
#glue_version ⇒ String
This value determines which version of AWS Glue this machine learning transform is compatible with.
-
#max_capacity ⇒ 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.
-
#name ⇒ String
The unique name that you gave the transform when you created it.
-
#number_of_workers ⇒ 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 transform type (algorithm) used.
-
#role ⇒ String
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
-
#timeout ⇒ Integer
The timeout for a task run for this transform in minutes.
-
#transform_id ⇒ String
A unique identifier that was generated when the transform was created.
-
#worker_type ⇒ String
The type of predefined worker that is allocated when this task runs.
Instance Attribute Details
#description ⇒ String
A description of the transform. The default is an empty string.
#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.
#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.
#max_retries ⇒ Integer
The maximum number of times to retry a task for this transform after a task run fails.
#name ⇒ String
The unique name that you gave the transform when you created it.
#number_of_workers ⇒ 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 transform type (algorithm) used. Conditionally dependent on the transform type.
#role ⇒ String
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
#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).
#transform_id ⇒ String
A unique identifier that was generated when 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