software.amazon.awscdk.services.stepfunctions.tasks

Class SagemakerTransformProps.Jsii$Proxy

java.lang.Object

software.amazon.jsii.JsiiObject

software.amazon.awscdk.services.stepfunctions.tasks.SagemakerTransformProps.Jsii$Proxy

All Implemented Interfaces:

SagemakerTransformProps, software.amazon.jsii.JsiiSerializable

Enclosing interface:

SagemakerTransformProps

public static final class SagemakerTransformProps.Jsii$Proxy
extends software.amazon.jsii.JsiiObject
implements SagemakerTransformProps

A proxy class which represents a concrete javascript instance of this type.

Nested Class Summary

Nested classes/interfaces inherited from class software.amazon.jsii.JsiiObject

software.amazon.jsii.JsiiObject.InitializationMode

Nested classes/interfaces inherited from interface software.amazon.awscdk.services.stepfunctions.tasks.SagemakerTransformProps

SagemakerTransformProps.Builder, SagemakerTransformProps.Jsii$Proxy

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	Jsii$Proxy(software.amazon.jsii.JsiiObject.InitializationMode mode)

Method Summary

Modifier and Type	Method and Description
BatchStrategy	getBatchStrategy() Number of records to include in a mini-batch for an HTTP inference request.
Map<String,Object>	getEnvironment() Environment variables to set in the Docker container.
Number	getMaxConcurrentTransforms() Maximum number of parallel requests that can be sent to each instance in a transform job.
Number	getMaxPayloadInMb() Maximum allowed size of the payload, in MB.
String	getModelName() Name of the model that you want to use for the transform job.
software.amazon.awscdk.services.iam.IRole	getRole() Role for thte Training Job.
Boolean	getSynchronous() Specify if the task is synchronous or asychronous.
Map<String,Object>	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.
TransformResources	getTransformResources() ML compute instances for the transform job.

Methods inherited from class software.amazon.jsii.JsiiObject

jsiiAsyncCall, jsiiCall, jsiiGet, jsiiSet, jsiiStaticCall, jsiiStaticGet, jsiiStaticSet

Methods inherited from class java.lang.Object

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

Methods inherited from interface software.amazon.awscdk.services.stepfunctions.tasks.SagemakerTransformProps

builder

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Constructor Detail

Jsii$Proxy

protected Jsii$Proxy(software.amazon.jsii.JsiiObject.InitializationMode mode)

Method Detail

getModelName

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

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

Specified by:

getModelName in interface SagemakerTransformProps

getTransformInput

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

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

Specified by:

getTransformInput in interface SagemakerTransformProps

getTransformJobName

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

Training Job Name. EXPERIMENTAL

Specified by:

getTransformJobName in interface SagemakerTransformProps

getTransformOutput

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

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

Specified by:

getTransformOutput in interface SagemakerTransformProps

getBatchStrategy

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

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

Specified by:

getBatchStrategy in interface SagemakerTransformProps

getEnvironment

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

Environment variables to set in the Docker container. EXPERIMENTAL

Specified by:

getEnvironment in interface SagemakerTransformProps

getMaxConcurrentTransforms

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

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

Specified by:

getMaxConcurrentTransforms in interface SagemakerTransformProps

getMaxPayloadInMb

@Stability(value=Experimental)
 @Nullable
public Number getMaxPayloadInMb()

Maximum allowed size of the payload, in MB. EXPERIMENTAL

Specified by:

getMaxPayloadInMb in interface SagemakerTransformProps

getRole

@Stability(value=Experimental)
 @Nullable
public software.amazon.awscdk.services.iam.IRole getRole()

Role for thte Training Job. EXPERIMENTAL

Specified by:

getRole in interface SagemakerTransformProps

getSynchronous

@Stability(value=Experimental)
 @Nullable
public Boolean getSynchronous()

Specify if the task is synchronous or asychronous. EXPERIMENTAL

Specified by:

getSynchronous in interface SagemakerTransformProps

getTags

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

Tags to be applied to the train job. EXPERIMENTAL

Specified by:

getTags in interface SagemakerTransformProps

getTransformResources

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

ML compute instances for the transform job. EXPERIMENTAL

Specified by:

getTransformResources in interface SagemakerTransformProps