software.amazon.awscdk.services.stepfunctions.tasks

Class SageMakerCreateTrainingJobProps.Jsii$Proxy

java.lang.Object

software.amazon.jsii.JsiiObject

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

All Implemented Interfaces:

SageMakerCreateTrainingJobProps, TaskStateBaseProps, software.amazon.jsii.JsiiSerializable

Enclosing interface:

SageMakerCreateTrainingJobProps

@Stability(value=Experimental)
public static final class SageMakerCreateTrainingJobProps.Jsii$Proxy
extends software.amazon.jsii.JsiiObject
implements SageMakerCreateTrainingJobProps

An implementation for SageMakerCreateTrainingJobProps

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.SageMakerCreateTrainingJobProps

SageMakerCreateTrainingJobProps.Builder, SageMakerCreateTrainingJobProps.Jsii$Proxy

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef) Constructor that initializes the object based on values retrieved from the JsiiObject.

Method Summary

Modifier and Type	Method and Description
com.fasterxml.jackson.databind.JsonNode	$jsii$toJson()
boolean	equals(Object o)
AlgorithmSpecification	getAlgorithmSpecification() Identifies the training algorithm to use.
String	getComment()
Duration	getHeartbeat()
Map<String,Object>	getHyperparameters() Algorithm-specific parameters that influence the quality of the model.
List<Channel>	getInputDataConfig() Describes the various datasets (e.g.
String	getInputPath()
IntegrationPattern	getIntegrationPattern()
OutputDataConfig	getOutputDataConfig() Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
String	getOutputPath()
ResourceConfig	getResourceConfig() Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
String	getResultPath()
IRole	getRole() Role for the Training Job.
StoppingCondition	getStoppingCondition() Sets a time limit for training.
Map<String,String>	getTags() Tags to be applied to the train job.
Duration	getTimeout()
String	getTrainingJobName() Training Job Name.
VpcConfig	getVpcConfig() Specifies the VPC that you want your training job to connect to.
int	hashCode()

Methods inherited from class software.amazon.jsii.JsiiObject

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

Methods inherited from class java.lang.Object

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

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

builder

Constructor Detail

Jsii$Proxy

protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)

Constructor that initializes the object based on values retrieved from the JsiiObject.

Parameters:

objRef - Reference to the JSII managed object.

Method Detail

getAlgorithmSpecification

public AlgorithmSpecification getAlgorithmSpecification()

Description copied from interface: SageMakerCreateTrainingJobProps

Identifies the training algorithm to use.

EXPERIMENTAL

Specified by:

getAlgorithmSpecification in interface SageMakerCreateTrainingJobProps

getInputDataConfig

public List<Channel> getInputDataConfig()

Description copied from interface: SageMakerCreateTrainingJobProps

Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.

EXPERIMENTAL

Specified by:

getInputDataConfig in interface SageMakerCreateTrainingJobProps

getOutputDataConfig

public OutputDataConfig getOutputDataConfig()

Description copied from interface: SageMakerCreateTrainingJobProps

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.

EXPERIMENTAL

Specified by:

getOutputDataConfig in interface SageMakerCreateTrainingJobProps

getTrainingJobName

public String getTrainingJobName()

Description copied from interface: SageMakerCreateTrainingJobProps

Training Job Name.

EXPERIMENTAL

Specified by:

getTrainingJobName in interface SageMakerCreateTrainingJobProps

getHyperparameters

public Map<String,Object> getHyperparameters()

Description copied from interface: SageMakerCreateTrainingJobProps

Algorithm-specific parameters that influence the quality of the model.

Set hyperparameters before you start the learning process. For a list of hyperparameters provided by Amazon SageMaker

Default: - No hyperparameters

EXPERIMENTAL

Specified by:

getHyperparameters in interface SageMakerCreateTrainingJobProps

See Also:

https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html

getResourceConfig

public ResourceConfig getResourceConfig()

Description copied from interface: SageMakerCreateTrainingJobProps

Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.

Default: - 1 instance of EC2 `M4.XLarge` with `10GB` volume

EXPERIMENTAL

Specified by:

getResourceConfig in interface SageMakerCreateTrainingJobProps

getRole

public IRole getRole()

Description copied from interface: SageMakerCreateTrainingJobProps

Role for the Training Job.

The role must be granted all necessary permissions for the SageMaker training job to be able to operate.

See https://docs.aws.amazon.com/fr_fr/sagemaker/latest/dg/sagemaker-roles.html#sagemaker-roles-createtrainingjob-perms

Default: - a role will be created.

EXPERIMENTAL

Specified by:

getRole in interface SageMakerCreateTrainingJobProps

getStoppingCondition

public StoppingCondition getStoppingCondition()

Description copied from interface: SageMakerCreateTrainingJobProps

Sets a time limit for training.

Default: - max runtime of 1 hour

EXPERIMENTAL

Specified by:

getStoppingCondition in interface SageMakerCreateTrainingJobProps

getTags

public Map<String,String> getTags()

Description copied from interface: SageMakerCreateTrainingJobProps

Tags to be applied to the train job.

Default: - No tags

EXPERIMENTAL

Specified by:

getTags in interface SageMakerCreateTrainingJobProps

getVpcConfig

public VpcConfig getVpcConfig()

Description copied from interface: SageMakerCreateTrainingJobProps

Specifies the VPC that you want your training job to connect to.

Default: - No VPC

EXPERIMENTAL

Specified by:

getVpcConfig in interface SageMakerCreateTrainingJobProps

getComment

public String getComment()

Specified by:

getComment in interface TaskStateBaseProps

getHeartbeat

public Duration getHeartbeat()

Specified by:

getHeartbeat in interface TaskStateBaseProps

getInputPath

public String getInputPath()

Specified by:

getInputPath in interface TaskStateBaseProps

getIntegrationPattern

public IntegrationPattern getIntegrationPattern()

Specified by:

getIntegrationPattern in interface TaskStateBaseProps

getOutputPath

public String getOutputPath()

Specified by:

getOutputPath in interface TaskStateBaseProps

getResultPath

public String getResultPath()

Specified by:

getResultPath in interface TaskStateBaseProps

getTimeout

public Duration getTimeout()

Specified by:

getTimeout in interface TaskStateBaseProps

$jsii$toJson

public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()

Specified by:

$jsii$toJson in interface software.amazon.jsii.JsiiSerializable

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object