K-fold cross-validation split for item prediction from implicit feedback More...
Inheritance diagram for PosOnlyFeedbackCrossValidationSplit< T >:
Public Member Functions | |
| PosOnlyFeedbackCrossValidationSplit (IPosOnlyFeedback feedback, uint num_folds) | |
| Create a k-fold split of positive-only item prediction data More... | |
Properties | |
| uint | NumberOfFolds [get] |
| IList< IPosOnlyFeedback > | Test [get] |
| IList< IPosOnlyFeedback > | Train [get] |
Detailed Description
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()
Constructor & Destructor Documentation
|
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
The documentation for this class was generated from the following file:
- PosOnlyFeedbackCrossValidationSplit.cs
