com.amazonaws.services.neptunedata.model

Class CustomModelTransformParameters

java.lang.Object

com.amazonaws.services.neptunedata.model.CustomModelTransformParameters

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

Contains custom model transform parameters. See Use a trained model to generate new model artifacts.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
CustomModelTransformParameters()

Method Summary

Modifier and Type	Method and Description
CustomModelTransformParameters	clone()
boolean	equals(Object obj)
String	getSourceS3DirectoryPath() The path to the Amazon S3 location where the Python module implementing your model is located.
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	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.
CustomModelTransformParameters	withSourceS3DirectoryPath(String sourceS3DirectoryPath) The path to the Amazon S3 location where the Python module implementing your model is located.
CustomModelTransformParameters	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

CustomModelTransformParameters

public CustomModelTransformParameters()

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 CustomModelTransformParameters 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.

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 CustomModelTransformParameters 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 CustomModelTransformParameters 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.