software.amazon.awssdk.services.sagemaker.model

Class AutoMLDataSplitConfig

java.lang.Object

software.amazon.awssdk.services.sagemaker.model.AutoMLDataSplitConfig

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<AutoMLDataSplitConfig.Builder,AutoMLDataSplitConfig>

@Generated(value="software.amazon.awssdk:codegen")
public final class AutoMLDataSplitConfig
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<AutoMLDataSplitConfig.Builder,AutoMLDataSplitConfig>

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

If you are using the V1 API (for example CreateAutoMLJob) or the V2 API for Natural Language Processing problems (for example CreateAutoMLJobV2 with a TextClassificationJobConfig problem type), the validation and training datasets must contain the same headers. Also, for V1 API jobs, the validation dataset must be less than 2 GB in size.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	AutoMLDataSplitConfig.Builder

Method Summary

Modifier and Type	Method and Description
static AutoMLDataSplitConfig.Builder	builder()
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj)
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
int	hashCode()
List<SdkField<?>>	sdkFields()
static Class<? extends AutoMLDataSplitConfig.Builder>	serializableBuilderClass()
AutoMLDataSplitConfig.Builder	toBuilder()
String	toString() Returns a string representation of this object.
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

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

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

copy

Method Detail

validationFraction

public final 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.

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.

toBuilder

public AutoMLDataSplitConfig.Builder toBuilder()

Specified by:

toBuilder in interface ToCopyableBuilder<AutoMLDataSplitConfig.Builder,AutoMLDataSplitConfig>

builder

public static AutoMLDataSplitConfig.Builder builder()

serializableBuilderClass

public static Class<? extends AutoMLDataSplitConfig.Builder> serializableBuilderClass()

hashCode

public final int hashCode()

Overrides:

hashCode in class Object

equals

public final boolean equals(Object obj)

Overrides:

equals in class Object

equalsBySdkFields

public final boolean equalsBySdkFields(Object obj)

Specified by:

equalsBySdkFields in interface SdkPojo

toString

public final 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

getValueForField

public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)

sdkFields

public final List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo