gov.sandia.cognition.learning.experiment

Interface ValidationFoldCreator<InputDataType,FoldDataType>

Type Parameters:

InputDataType - The type of the data to create the folds from. It is typically the same as the FoldDataType, but that is not required.

FoldDataType - The type of data that the folds can be created for.

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

CrossFoldCreator, LeaveOneOutFoldCreator, RandomByTwoFoldCreator, RandomFoldCreator

public interface ValidationFoldCreator<InputDataType,FoldDataType>
extends java.io.Serializable

The ValidationFoldCreator interface defines the functionality for an object that can create a collection of folds for a validation experiment where a set of data is split into training and testing sets multiple times.

Since:

2.0

Author:

Justin Basilico

Method Summary

Modifier and Type	Method and Description
java.util.List<PartitionedDataset<FoldDataType>>	createFolds(java.util.Collection<? extends InputDataType> data) Creates a list of partitioned (training and testing) datasets from the given single dataset.

Method Detail

createFolds

java.util.List<PartitionedDataset<FoldDataType>> createFolds(java.util.Collection<? extends InputDataType> data)

Creates a list of partitioned (training and testing) datasets from the given single dataset.

Parameters:

data - The data to create multiple folds from.

Returns:

The list of partitioned datasets.