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Class: Aws::Glue::Types::GetMLTransformResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::Glue::Types::GetMLTransformResponse
- Defined in:
- (unknown)
Overview
Returned by:
Instance Attribute Summary collapse
-
#created_on ⇒ Time
The date and time when the transform was created.
-
#description ⇒ String
A description of the transform.
-
#evaluation_metrics ⇒ Types::EvaluationMetrics
The latest evaluation metrics.
-
#glue_version ⇒ String
This value determines which version of AWS Glue this machine learning transform is compatible with.
-
#input_record_tables ⇒ Array<Types::GlueTable>
A list of AWS Glue table definitions used by the transform.
-
#label_count ⇒ Integer
The number of labels available for this transform.
-
#last_modified_on ⇒ Time
The date and time when the transform was last modified.
-
#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 given to the transform when it was created.
-
#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 algorithm used.
-
#role ⇒ String
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
-
#schema ⇒ Array<Types::SchemaColumn>
The
Map<Column, Type>
object that represents the schema that this transform accepts. -
#status ⇒ String
The last known status of the transform (to indicate whether it can be used or not).
-
#timeout ⇒ Integer
The timeout for a task run for this transform in minutes.
-
#transform_encryption ⇒ Types::TransformEncryption
The encryption-at-rest settings of the transform that apply to accessing user data.
-
#transform_id ⇒ String
The unique identifier of the transform, generated at the time that the transform was created.
-
#worker_type ⇒ String
The type of predefined worker that is allocated when this task runs.
Instance Attribute Details
#created_on ⇒ Time
The date and time when the transform was created.
#description ⇒ String
A description of the transform.
#evaluation_metrics ⇒ Types::EvaluationMetrics
The latest evaluation metrics.
#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.
#input_record_tables ⇒ Array<Types::GlueTable>
A list of AWS Glue table definitions used by the transform.
#label_count ⇒ Integer
The number of labels available for this transform.
#last_modified_on ⇒ Time
The date and time when the transform was last modified.
#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 given to the transform when it was created.
#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 algorithm used.
#role ⇒ String
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
#schema ⇒ Array<Types::SchemaColumn>
The Map<Column, Type>
object that represents the schema that this
transform accepts. Has an upper bound of 100 columns.
#status ⇒ String
The last known status of the transform (to indicate whether it can be used or not). One of \"NOT_READY\", \"READY\", or \"DELETING\".
Possible values:
- NOT_READY
- READY
- DELETING
#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_encryption ⇒ Types::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.
#transform_id ⇒ String
The unique identifier of the transform, generated at the time that 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