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java.lang.Objectprea.data.splitter.DataSplitManager
prea.data.splitter.KfoldCrossValidation
public class KfoldCrossValidation
This class implements K-fold cross-validation.
Field Summary | |
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private SparseMatrix |
assign
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private int |
foldCount
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Fields inherited from class prea.data.splitter.DataSplitManager |
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itemCount, itemRateAverage, K_FOLD_CROSS_VALIDATION, maxValue, minValue, PREDEFINED_SPLIT, rateMatrix, SIMPLE_SPLIT, testMatrix, userCount, userRateAverage |
Constructor Summary | |
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KfoldCrossValidation(SparseMatrix originalMatrix,
int k,
int max,
int min)
Construct an instance for K-fold cross-validation. |
Method Summary | |
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private void |
divideFolds(int k)
Divide the original rating matrix into k-fold. |
SparseMatrix |
getKthFold(int k)
Return the k-th fold as test set (testMatrix), making all the others as train set in rateMatrix. |
Methods inherited from class prea.data.splitter.DataSplitManager |
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calculateAverage, getItemRateAverage, getTestMatrix, getUserRateAverage, recoverTestItems |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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private SparseMatrix assign
private int foldCount
Constructor Detail |
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public KfoldCrossValidation(SparseMatrix originalMatrix, int k, int max, int min)
Method Detail |
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private void divideFolds(int k)
k
- The index for desired fold.public SparseMatrix getKthFold(int k)
k
- The index for desired fold.
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