software.amazon.awscdk.services.stepfunctions.tasks

Interface SageMakerCreateTransformJobProps

All Superinterfaces:

software.amazon.jsii.JsiiSerializable, TaskStateBaseProps

All Known Implementing Classes:

SageMakerCreateTransformJobProps.Jsii$Proxy

@Generated(value="jsii-pacmak/1.11.0 (build 1e9b8e1)",
           date="2020-08-28T10:19:42.057Z")
 @Stability(value=Experimental)
public interface SageMakerCreateTransformJobProps
extends software.amazon.jsii.JsiiSerializable, TaskStateBaseProps

Properties for creating an Amazon SageMaker training job task.

EXPERIMENTAL

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	SageMakerCreateTransformJobProps.Builder A builder for SageMakerCreateTransformJobProps
static class	SageMakerCreateTransformJobProps.Jsii$Proxy An implementation for SageMakerCreateTransformJobProps

Method Summary

Modifier and Type	Method and Description
static SageMakerCreateTransformJobProps.Builder	builder()
default BatchStrategy	getBatchStrategy() Number of records to include in a mini-batch for an HTTP inference request.
default Map<String,String>	getEnvironment() Environment variables to set in the Docker container.
default Number	getMaxConcurrentTransforms() Maximum number of parallel requests that can be sent to each instance in a transform job.
default Size	getMaxPayload() Maximum allowed size of the payload, in MB.
String	getModelName() Name of the model that you want to use for the transform job.
default IRole	getRole() Role for the Training Job.
default Map<String,String>	getTags() Tags to be applied to the train job.
TransformInput	getTransformInput() Dataset to be transformed and the Amazon S3 location where it is stored.
String	getTransformJobName() Training Job Name.
TransformOutput	getTransformOutput() S3 location where you want Amazon SageMaker to save the results from the transform job.
default TransformResources	getTransformResources() ML compute instances for the transform job.

Methods inherited from interface software.amazon.awscdk.services.stepfunctions.TaskStateBaseProps

getComment, getHeartbeat, getInputPath, getIntegrationPattern, getOutputPath, getResultPath, getTimeout

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getModelName

@Stability(value=Experimental)
 @NotNull
String getModelName()

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

EXPERIMENTAL

getTransformInput

@Stability(value=Experimental)
 @NotNull
TransformInput getTransformInput()

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

EXPERIMENTAL

getTransformJobName

@Stability(value=Experimental)
 @NotNull
String getTransformJobName()

Training Job Name.

EXPERIMENTAL

getTransformOutput

@Stability(value=Experimental)
 @NotNull
TransformOutput getTransformOutput()

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

EXPERIMENTAL

getBatchStrategy

@Stability(value=Experimental)
 @Nullable
default BatchStrategy getBatchStrategy()

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

Default: - No batch strategy

EXPERIMENTAL

getEnvironment

@Stability(value=Experimental)
 @Nullable
default Map<String,String> getEnvironment()

Environment variables to set in the Docker container.

Default: - No environment variables

EXPERIMENTAL

getMaxConcurrentTransforms

@Stability(value=Experimental)
 @Nullable
default Number getMaxConcurrentTransforms()

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

Default: - Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1.

EXPERIMENTAL

getMaxPayload

@Stability(value=Experimental)
 @Nullable
default Size getMaxPayload()

Maximum allowed size of the payload, in MB.

Default: 6

EXPERIMENTAL

getRole

@Stability(value=Experimental)
 @Nullable
default IRole getRole()

Role for the Training Job.

Default: - A role is created with `AmazonSageMakerFullAccess` managed policy

EXPERIMENTAL

getTags

@Stability(value=Experimental)
 @Nullable
default Map<String,String> getTags()

Tags to be applied to the train job.

Default: - No tags

EXPERIMENTAL

getTransformResources

@Stability(value=Experimental)
 @Nullable
default TransformResources getTransformResources()

ML compute instances for the transform job.

Default: - 1 instance of type M4.XLarge

EXPERIMENTAL

builder

@Stability(value=Experimental)
static SageMakerCreateTransformJobProps.Builder builder()

Specified by:

builder in interface TaskStateBaseProps

Returns:

a SageMakerCreateTransformJobProps.Builder of SageMakerCreateTransformJobProps