GetMLTransformResponse

import type { GetMLTransformResponse } from "https://aws-api.deno.dev/v0.3/services/glue.ts?docs=full";

interface GetMLTransformResponse {

CreatedOn?: Date | number | null;

Description?: string | null;

EvaluationMetrics?: EvaluationMetrics | null;

GlueVersion?: string | null;

InputRecordTables?: GlueTable[] | null;

LabelCount?: number | null;

LastModifiedOn?: Date | number | null;

MaxCapacity?: number | null;

MaxRetries?: number | null;

Name?: string | null;

NumberOfWorkers?: number | null;

Parameters?: TransformParameters | null;

Role?: string | null;

Schema?: SchemaColumn[] | null;

Status?: TransformStatusType | null;

Timeout?: number | null;

TransformEncryption?: TransformEncryption | null;

TransformId?: string | null;

WorkerType?: WorkerType | null;

}

§Properties

CreatedOn?: Date | number | null

[src]

The date and time when the transform was created.

Description?: string | null

[src]

A description of the transform.

EvaluationMetrics?: EvaluationMetrics | null

[src]

The latest evaluation metrics.

GlueVersion?: string | null

[src]

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.

InputRecordTables?: GlueTable[] | null

[src]

A list of Glue table definitions used by the transform.

LabelCount?: number | null

[src]

The number of labels available for this transform.

LastModifiedOn?: Date | number | null

[src]

The date and time when the transform was last modified.

MaxCapacity?: number | null

[src]

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.

MaxRetries?: number | null

[src]

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

Name?: string | null

[src]

The unique name given to the transform when it was created.

NumberOfWorkers?: number | null

[src]

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

Parameters?: TransformParameters | null

[src]

The configuration parameters that are specific to the algorithm used.

Role?: string | null

[src]

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

Schema?: SchemaColumn[] | null

[src]

The Map<Column, Type> object that represents the schema that this transform accepts. Has an upper bound of 100 columns.

Status?: TransformStatusType | null

[src]

The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY", or "DELETING".

Timeout?: number | null

[src]

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).

TransformEncryption?: TransformEncryption | null

[src]

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.

TransformId?: string | null

[src]

The unique identifier of the transform, generated at the time that the transform was created.

WorkerType?: WorkerType | null

[src]

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.