com.amazonaws.services.sagemaker.model

Class AutoMLDataSplitConfig

java.lang.Object

com.amazonaws.services.sagemaker.model.AutoMLDataSplitConfig

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

This structure specifies how to split the data into train and validation datasets.

The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
AutoMLDataSplitConfig()

Method Summary

Modifier and Type	Method and Description
AutoMLDataSplitConfig	clone()
boolean	equals(Object obj)
Float	getValidationFraction() The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setValidationFraction(Float validationFraction) The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation.
String	toString() Returns a string representation of this object.
AutoMLDataSplitConfig	withValidationFraction(Float validationFraction) The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AutoMLDataSplitConfig

public AutoMLDataSplitConfig()

Method Detail

setValidationFraction

public void setValidationFraction(Float validationFraction)

The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

Parameters:

validationFraction - The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

getValidationFraction

public Float getValidationFraction()

The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

Returns:

The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

withValidationFraction

public AutoMLDataSplitConfig withValidationFraction(Float validationFraction)

The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

Parameters:

validationFraction - The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

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 AutoMLDataSplitConfig 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.