AWS::SageMaker::ModelPackage TransformJobDefinition - Amazon CloudFormation
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AWS::SageMaker::ModelPackage TransformJobDefinition

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

Syntax

To declare this entity in your Amazon CloudFormation template, use the following syntax:

Properties

BatchStrategy

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.

Required: No

Type: String

Allowed values: MultiRecord | SingleRecord

Update requires: Replacement

Environment

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

Required: No

Type: Object of String

Pattern: [a-zA-Z_][a-zA-Z0-9_]*

Maximum: 1024

Update requires: Replacement

MaxConcurrentTransforms

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

Required: No

Type: Integer

Minimum: 0

Update requires: Replacement

MaxPayloadInMB

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

Required: No

Type: Integer

Minimum: 0

Update requires: Replacement

TransformInput

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

Required: Yes

Type: TransformInput

Update requires: Replacement

TransformOutput

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

Required: Yes

Type: TransformOutput

Update requires: Replacement

TransformResources

Identifies the ML compute instances for the transform job.

Required: Yes

Type: TransformResources

Update requires: Replacement