software.amazon.awscdk.services.stepfunctions.tasks

Class SagemakerTransformTask.Builder

java.lang.Object

software.amazon.awscdk.services.stepfunctions.tasks.SagemakerTransformTask.Builder

Enclosing class:

SagemakerTransformTask

@Stability(value=Experimental)
public static final class SagemakerTransformTask.Builder
extends Object

A fluent builder for SagemakerTransformTask.

Method Summary

Modifier and Type	Method and Description
SagemakerTransformTask.Builder	batchStrategy(BatchStrategy batchStrategy) Number of records to include in a mini-batch for an HTTP inference request.
SagemakerTransformTask	build()
static SagemakerTransformTask.Builder	create() EXPERIMENTAL
SagemakerTransformTask.Builder	environment(Map<String,String> environment) Environment variables to set in the Docker container.
SagemakerTransformTask.Builder	integrationPattern(ServiceIntegrationPattern integrationPattern) The service integration pattern indicates different ways to call SageMaker APIs.
SagemakerTransformTask.Builder	maxConcurrentTransforms(Number maxConcurrentTransforms) Maximum number of parallel requests that can be sent to each instance in a transform job.
SagemakerTransformTask.Builder	maxPayloadInMb(Number maxPayloadInMb) Maximum allowed size of the payload, in MB.
SagemakerTransformTask.Builder	modelName(String modelName) Name of the model that you want to use for the transform job.
SagemakerTransformTask.Builder	role(IRole role) Role for thte Training Job.
SagemakerTransformTask.Builder	tags(Map<String,String> tags) Tags to be applied to the train job.
SagemakerTransformTask.Builder	transformInput(TransformInput transformInput) Dataset to be transformed and the Amazon S3 location where it is stored.
SagemakerTransformTask.Builder	transformJobName(String transformJobName) Training Job Name.
SagemakerTransformTask.Builder	transformOutput(TransformOutput transformOutput) S3 location where you want Amazon SageMaker to save the results from the transform job.
SagemakerTransformTask.Builder	transformResources(TransformResources transformResources) ML compute instances for the transform job.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

create

@Stability(value=Experimental)
public static SagemakerTransformTask.Builder create()

EXPERIMENTAL

Returns:

a new instance of SagemakerTransformTask.Builder.

modelName

@Stability(value=Experimental)
public SagemakerTransformTask.Builder modelName(String modelName)

Name of the model that you want to use for the transform job.

EXPERIMENTAL

Parameters:

modelName - Name of the model that you want to use for the transform job. This parameter is required.

Returns:

this

transformInput

@Stability(value=Experimental)
public SagemakerTransformTask.Builder transformInput(TransformInput transformInput)

Dataset to be transformed and the Amazon S3 location where it is stored.

EXPERIMENTAL

Parameters:

transformInput - Dataset to be transformed and the Amazon S3 location where it is stored. This parameter is required.

Returns:

this

transformJobName

@Stability(value=Experimental)
public SagemakerTransformTask.Builder transformJobName(String transformJobName)

Training Job Name.

EXPERIMENTAL

Parameters:

transformJobName - Training Job Name. This parameter is required.

Returns:

this

transformOutput

@Stability(value=Experimental)
public SagemakerTransformTask.Builder transformOutput(TransformOutput transformOutput)

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

EXPERIMENTAL

Parameters:

transformOutput - S3 location where you want Amazon SageMaker to save the results from the transform job. This parameter is required.

Returns:

this

batchStrategy

@Stability(value=Experimental)
public SagemakerTransformTask.Builder batchStrategy(BatchStrategy batchStrategy)

Number of records to include in a mini-batch for an HTTP inference request.

EXPERIMENTAL

Parameters:

batchStrategy - Number of records to include in a mini-batch for an HTTP inference request. This parameter is required.

Returns:

this

environment

@Stability(value=Experimental)
public SagemakerTransformTask.Builder environment(Map<String,String> environment)

Environment variables to set in the Docker container.

EXPERIMENTAL

Parameters:

environment - Environment variables to set in the Docker container. This parameter is required.

Returns:

this

integrationPattern

@Stability(value=Experimental)
public SagemakerTransformTask.Builder integrationPattern(ServiceIntegrationPattern integrationPattern)

The service integration pattern indicates different ways to call SageMaker APIs.

The valid value is either FIRE_AND_FORGET or SYNC.

Default: FIRE_AND_FORGET

EXPERIMENTAL

Parameters:

integrationPattern - The service integration pattern indicates different ways to call SageMaker APIs. This parameter is required.

Returns:

this

maxConcurrentTransforms

@Stability(value=Experimental)
public SagemakerTransformTask.Builder maxConcurrentTransforms(Number maxConcurrentTransforms)

Maximum number of parallel requests that can be sent to each instance in a transform job.

EXPERIMENTAL

Parameters:

maxConcurrentTransforms - Maximum number of parallel requests that can be sent to each instance in a transform job. This parameter is required.

Returns:

this

maxPayloadInMb

@Stability(value=Experimental)
public SagemakerTransformTask.Builder maxPayloadInMb(Number maxPayloadInMb)

Maximum allowed size of the payload, in MB.

EXPERIMENTAL

Parameters:

maxPayloadInMb - Maximum allowed size of the payload, in MB. This parameter is required.

Returns:

this

role

@Stability(value=Experimental)
public SagemakerTransformTask.Builder role(IRole role)

Role for thte Training Job.

EXPERIMENTAL

Parameters:

role - Role for thte Training Job. This parameter is required.

Returns:

this

tags

@Stability(value=Experimental)
public SagemakerTransformTask.Builder tags(Map<String,String> tags)

Tags to be applied to the train job.

EXPERIMENTAL

Parameters:

tags - Tags to be applied to the train job. This parameter is required.

Returns:

this

transformResources

@Stability(value=Experimental)
public SagemakerTransformTask.Builder transformResources(TransformResources transformResources)

ML compute instances for the transform job.

EXPERIMENTAL

Parameters:

transformResources - ML compute instances for the transform job. This parameter is required.

Returns:

this

build

@Stability(value=Experimental)
public SagemakerTransformTask build()