TransformJobDefinition

import type { TransformJobDefinition } from "https://aws-api.deno.dev/v0.4/services/sagemaker.ts?docs=full";

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

interface TransformJobDefinition {

BatchStrategy?: BatchStrategy | null;

Environment?: {

[key: string]: string | null | undefined;

} | null;

MaxConcurrentTransforms?: number | null;

MaxPayloadInMB?: number | null;

TransformInput: TransformInput;

TransformOutput: TransformOutput;

TransformResources: TransformResources;

}

§Properties

BatchStrategy?: BatchStrategy | null

[src]

A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

Environment?: {

[key: string]: string | null | undefined;

} | null

[src]

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

MaxConcurrentTransforms?: number | null

[src]

The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

MaxPayloadInMB?: number | null

[src]

The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

TransformInput: TransformInput

[src]

A description of the input source and the way the transform job consumes it.

TransformOutput: TransformOutput

[src]

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

TransformResources: TransformResources

[src]

Identifies the ML compute instances for the transform job.