com.amazonaws.services.neptunedata.model

Class CustomModelTrainingParameters

java.lang.Object

com.amazonaws.services.neptunedata.model.CustomModelTrainingParameters

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class CustomModelTrainingParameters
extends Object
implements Serializable, Cloneable, StructuredPojo

Contains custom model training parameters. See Custom models in Neptune ML.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
CustomModelTrainingParameters()

Method Summary

Modifier and Type	Method and Description
CustomModelTrainingParameters	clone()
boolean	equals(Object obj)
String	getSourceS3DirectoryPath() The path to the Amazon S3 location where the Python module implementing your model is located.
String	getTrainingEntryPointScript() The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters.
String	getTransformEntryPointScript() The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setSourceS3DirectoryPath(String sourceS3DirectoryPath) The path to the Amazon S3 location where the Python module implementing your model is located.
void	setTrainingEntryPointScript(String trainingEntryPointScript) The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters.
void	setTransformEntryPointScript(String transformEntryPointScript) The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment.
String	toString() Returns a string representation of this object.
CustomModelTrainingParameters	withSourceS3DirectoryPath(String sourceS3DirectoryPath) The path to the Amazon S3 location where the Python module implementing your model is located.
CustomModelTrainingParameters	withTrainingEntryPointScript(String trainingEntryPointScript) The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters.
CustomModelTrainingParameters	withTransformEntryPointScript(String transformEntryPointScript) The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

CustomModelTrainingParameters

public CustomModelTrainingParameters()

Method Detail

setSourceS3DirectoryPath

public void setSourceS3DirectoryPath(String sourceS3DirectoryPath)

The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a model-hpo-configuration.json file.

Parameters:

sourceS3DirectoryPath - The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a model-hpo-configuration.json file.

getSourceS3DirectoryPath

public String getSourceS3DirectoryPath()

The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a model-hpo-configuration.json file.

Returns:

The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a model-hpo-configuration.json file.

withSourceS3DirectoryPath

public CustomModelTrainingParameters withSourceS3DirectoryPath(String sourceS3DirectoryPath)

The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a model-hpo-configuration.json file.

Parameters:

sourceS3DirectoryPath - The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a model-hpo-configuration.json file.

Returns:

Returns a reference to this object so that method calls can be chained together.

setTrainingEntryPointScript

public void setTrainingEntryPointScript(String trainingEntryPointScript)

The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is training.py.

Parameters:

trainingEntryPointScript - The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is training.py.

getTrainingEntryPointScript

public String getTrainingEntryPointScript()

The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is training.py.

Returns:

The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is training.py.

withTrainingEntryPointScript

public CustomModelTrainingParameters withTrainingEntryPointScript(String trainingEntryPointScript)

The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is training.py.

Parameters:

trainingEntryPointScript - The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is training.py.

Returns:

Returns a reference to this object so that method calls can be chained together.

setTransformEntryPointScript

public void setTransformEntryPointScript(String transformEntryPointScript)

The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is transform.py.

Parameters:

transformEntryPointScript - The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is transform.py.

getTransformEntryPointScript

public String getTransformEntryPointScript()

The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is transform.py.

Returns:

The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is transform.py.

withTransformEntryPointScript

public CustomModelTrainingParameters withTransformEntryPointScript(String transformEntryPointScript)

The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is transform.py.

Parameters:

transformEntryPointScript - The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is transform.py.

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public CustomModelTrainingParameters clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.