software.amazon.awscdk.services.stepfunctions.tasks

Class SagemakerTrainTaskProps.Jsii$Proxy

java.lang.Object

software.amazon.jsii.JsiiObject

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

All Implemented Interfaces:

SagemakerTrainTaskProps, software.amazon.jsii.JsiiSerializable

Enclosing interface:

SagemakerTrainTaskProps

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

An implementation for SagemakerTrainTaskProps

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.SagemakerTrainTaskProps

SagemakerTrainTaskProps.Builder, SagemakerTrainTaskProps.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.
Map<String,Object>	getHyperparameters() Algorithm-specific parameters that influence the quality of the model.
List<Channel>	getInputDataConfig() Describes the various datasets (e.g.
ServiceIntegrationPattern	getIntegrationPattern() The service integration pattern indicates different ways to call SageMaker APIs.
OutputDataConfig	getOutputDataConfig() Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
ResourceConfig	getResourceConfig() Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
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.
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.SagemakerTrainTaskProps

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: SagemakerTrainTaskProps

Identifies the training algorithm to use.

EXPERIMENTAL

Specified by:

getAlgorithmSpecification in interface SagemakerTrainTaskProps

getInputDataConfig

public List<Channel> getInputDataConfig()

Description copied from interface: SagemakerTrainTaskProps

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

EXPERIMENTAL

Specified by:

getInputDataConfig in interface SagemakerTrainTaskProps

getOutputDataConfig

public OutputDataConfig getOutputDataConfig()

Description copied from interface: SagemakerTrainTaskProps

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

EXPERIMENTAL

Specified by:

getOutputDataConfig in interface SagemakerTrainTaskProps

getTrainingJobName

public String getTrainingJobName()

Description copied from interface: SagemakerTrainTaskProps

Training Job Name.

EXPERIMENTAL

Specified by:

getTrainingJobName in interface SagemakerTrainTaskProps

getHyperparameters

public Map<String,Object> getHyperparameters()

Description copied from interface: SagemakerTrainTaskProps

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 SagemakerTrainTaskProps

See Also:

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

getIntegrationPattern

public ServiceIntegrationPattern getIntegrationPattern()

Description copied from interface: SagemakerTrainTaskProps

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

Specified by:

getIntegrationPattern in interface SagemakerTrainTaskProps

getResourceConfig

public ResourceConfig getResourceConfig()

Description copied from interface: SagemakerTrainTaskProps

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 SagemakerTrainTaskProps

getRole

public IRole getRole()

Description copied from interface: SagemakerTrainTaskProps

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 with appropriate permissions will be created.

EXPERIMENTAL

Specified by:

getRole in interface SagemakerTrainTaskProps

getStoppingCondition

public StoppingCondition getStoppingCondition()

Description copied from interface: SagemakerTrainTaskProps

Sets a time limit for training.

Default: - max runtime of 1 hour

EXPERIMENTAL

Specified by:

getStoppingCondition in interface SagemakerTrainTaskProps

getTags

public Map<String,String> getTags()

Description copied from interface: SagemakerTrainTaskProps

Tags to be applied to the train job.

Default: - No tags

EXPERIMENTAL

Specified by:

getTags in interface SagemakerTrainTaskProps

getVpcConfig

public VpcConfig getVpcConfig()

Description copied from interface: SagemakerTrainTaskProps

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

Default: - No VPC

EXPERIMENTAL

Specified by:

getVpcConfig in interface SagemakerTrainTaskProps

$jsii$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