PosOnlyFeedbackCrossValidationSplit< T > Class Template Reference

K-fold cross-validation split for item prediction from implicit feedback. More...

Inheritance diagram for PosOnlyFeedbackCrossValidationSplit< T >:

List of all members.

Public Member Functions
	PosOnlyFeedbackCrossValidationSplit (IPosOnlyFeedback feedback, uint num_folds)
	Create a k-fold split of positive-only item prediction data.
Properties
uint	NumberOfFolds [get, set]
	The number of folds in this split.
IList< IPosOnlyFeedback >	Test [get, set]
	Test data for the different folds.
IList< IPosOnlyFeedback >	Train [get, set]
	Training data for the different folds.

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Detailed Description

template<T>
class MyMediaLite::Data::PosOnlyFeedbackCrossValidationSplit< T >

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.

Type Constraints

T	:	IPosOnlyFeedback
T	:	new()

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Member Function Documentation

PosOnlyFeedbackCrossValidationSplit	(	IPosOnlyFeedback	feedback,
		uint	num_folds
	)		[inline]

Create a k-fold split of positive-only item prediction data.

See the class description for details.

Parameters:

feedback	the dataset
num_folds	the number of folds

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Property Documentation

uint NumberOfFolds [get, set]

The number of folds in this split.

The number of folds in this split

Implements ISplit< T >.

IList<IPosOnlyFeedback> Test [get, set]

Test data for the different folds.

A list of T

Implements ISplit< T >.

IList<IPosOnlyFeedback> Train [get, set]

Training data for the different folds.

A list of T

Implements ISplit< T >.

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The documentation for this class was generated from the following file:

• PosOnlyFeedbackCrossValidationSplit.cs