net.librec.data.splitter

Class KCVDataSplitter

java.lang.Object

net.librec.conf.Configured

net.librec.data.splitter.AbstractDataSplitter

net.librec.data.splitter.KCVDataSplitter

All Implemented Interfaces:

Configurable, DataSplitter

public class KCVDataSplitter
extends AbstractDataSplitter

K-fold Cross Validation Data Splitter

Author:

WangYuFeng and Liuxz

Nested Class Summary

Nested classes/interfaces inherited from interface net.librec.data.DataSplitter

DataSplitter.SplitterType

Field Summary

Fields inherited from class net.librec.data.splitter.AbstractDataSplitter

dataConvertor, LOG, testMatrix, trainMatrix, validationMatrix

Fields inherited from class net.librec.conf.Configured

conf, CONF_DATA_COLUMN_FORMAT, CONF_DATA_INPUT_PATH, CONF_DFS_DATA_DIR

Constructor Summary

Constructors

Constructor and Description
KCVDataSplitter() Empty constructor.
KCVDataSplitter(DataConvertor dataConvertor, Configuration conf) Initializes a newly created KCVDataSplitter object with convertor and configuration.

Method Summary

Methods

Modifier and Type	Method and Description
void	splitData() Split the data.
void	splitData(int k) preserve the k-th validation as the test set and the rest as train set
void	splitFolds() Assign the data into k folds.
void	splitFolds(int kFold) Split the data into k folds.

Methods inherited from class net.librec.data.splitter.AbstractDataSplitter

getTestData, getTrainData, getValidData, setDataConvertor

Methods inherited from class net.librec.conf.Configured

getConf, setConf

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KCVDataSplitter

public KCVDataSplitter()

Empty constructor.

KCVDataSplitter

public KCVDataSplitter(DataConvertor dataConvertor,
               Configuration conf)

Initializes a newly created KCVDataSplitter object with convertor and configuration.

Parameters:

dataConvertor - the convertor for the splitter.

conf - the configuration for the splitter.

Method Detail

splitData

public void splitData(int k)
               throws LibrecException

preserve the k-th validation as the test set and the rest as train set

Parameters:

k - the index of validation

Throws:

LibrecException - if error occurs

splitFolds

public void splitFolds()

Assign the data into k folds.

splitFolds

public void splitFolds(int kFold)

Split the data into k folds.

Parameters:

kFold - the number of folds.

splitData

public void splitData()
               throws LibrecException

Split the data.

Throws:

LibrecException - if error occurs