prea.data.splitter
Class SimpleSplit

java.lang.Object
  prea.data.splitter.DataSplitManager
      prea.data.splitter.SimpleSplit

public class SimpleSplit
extends DataSplitManager

This class helps to split data matrix into train set and test set, based on the test set ratio defined by the user.

Since:

2012. 4. 20

Version:

1.1

Author:

Joonseok Lee

Field Summary

Fields inherited from class prea.data.splitter.DataSplitManager

itemCount, itemRateAverage, K_FOLD_CROSS_VALIDATION, maxValue, minValue, PREDEFINED_SPLIT, rateMatrix, SIMPLE_SPLIT, testMatrix, userCount, userRateAverage

Constructor Summary

SimpleSplit(SparseMatrix originalMatrix, double testRatio, int max, int min)
Construct an instance for simple splitter.

Method Summary

private void

split(double testRatio) Items which will be used for test purpose are moved from rateMatrix to testMatrix.

Methods inherited from class prea.data.splitter.DataSplitManager

calculateAverage, getItemRateAverage, getTestMatrix, getUserRateAverage, recoverTestItems

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleSplit

public SimpleSplit(SparseMatrix originalMatrix,
                   double testRatio,
                   int max,
                   int min)

Construct an instance for simple splitter.

Method Detail

split

private void split(double testRatio)

Items which will be used for test purpose are moved from rateMatrix to testMatrix.

Parameters:

testRatio - proportion of items which will be used for test purpose.