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java.lang.Objectorg.mymedialite.data.PosOnlyFeedbackCrossValidationSplit<T>
public class PosOnlyFeedbackCrossValidationSplit<T extends IPosOnlyFeedback>
K-fold cross-validation split for item prediction from implicit feedback. Items with less than k events associated are ignored for testing and always assigned to the training set. The dataset must not be modified after the split - this would lead to undefined behavior.
Constructor Summary | |
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PosOnlyFeedbackCrossValidationSplit(IPosOnlyFeedback feedback,
int num_folds,
java.util.List<IPosOnlyFeedback> train,
java.util.List<IPosOnlyFeedback> test)
Create a k-fold split of positive-only item prediction data. |
Method Summary | |
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int |
numberOfFolds()
The number of folds in this split. |
java.util.List<IPosOnlyFeedback> |
test()
Test data for the different folds. |
java.util.List<IPosOnlyFeedback> |
train()
Training data for the different folds. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public PosOnlyFeedbackCrossValidationSplit(IPosOnlyFeedback feedback, int num_folds, java.util.List<IPosOnlyFeedback> train, java.util.List<IPosOnlyFeedback> test)
feedback
- the datasetnum_folds
- the number of foldsMethod Detail |
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public int numberOfFolds()
ISplit
numberOfFolds
in interface ISplit<IPosOnlyFeedback>
public java.util.List<IPosOnlyFeedback> train()
ISplit
train
in interface ISplit<IPosOnlyFeedback>
public java.util.List<IPosOnlyFeedback> test()
ISplit
test
in interface ISplit<IPosOnlyFeedback>
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