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/1.30.0 (build adae23f)",
           date="2021-06-30T10:01:43.930Z")
 @Stability(value=Experimental)
public interface SageMakerCreateTransformJobProps
extends software.amazon.jsii.JsiiSerializable, TaskStateBaseProps

(experimental) Properties for creating an Amazon SageMaker transform job task.

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

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

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

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getModelName

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

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

getTransformInput

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

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

getTransformJobName

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

(experimental) Transform Job Name.

getTransformOutput

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

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

getBatchStrategy

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

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

Default: - No batch strategy

getEnvironment

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

(experimental) Environment variables to set in the Docker container.

Default: - No environment variables

getMaxConcurrentTransforms

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

(experimental) 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.

getMaxPayload

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

(experimental) Maximum allowed size of the payload, in MB.

Default: 6

getModelClientOptions

@Stability(value=Experimental)
 @Nullable
default ModelClientOptions getModelClientOptions()

(experimental) Configures the timeout and maximum number of retries for processing a transform job invocation.

Default: - 0 retries and 60 seconds of timeout

getRole

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

(experimental) Role for the Transform Job.

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

getTags

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

(experimental) Tags to be applied to the train job.

Default: - No tags

getTransformResources

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

(experimental) ML compute instances for the transform job.

Default: - 1 instance of type M4.XLarge

builder

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

Specified by:

builder in interface TaskStateBaseProps

Returns:

a SageMakerCreateTransformJobProps.Builder of SageMakerCreateTransformJobProps