MyMediaLite
3.11
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This namespace contains rating predictors and some helper classes for rating prediction. More...
Classes | |
class | BiasedMatrixFactorization |
Matrix factorization with explicit user and item bias, learning is performed by stochastic gradient descent More... | |
class | BiPolarSlopeOne |
Bi-polar frequency-weighted Slope-One rating prediction More... | |
class | CoClustering |
Co-clustering for rating prediction More... | |
class | Constant |
Uses a constant rating value for prediction More... | |
class | EntityAverage |
Abstract class that uses an average (by entity) rating value for predictions More... | |
class | Extensions |
Class that contains static methods for rating prediction More... | |
class | ExternalRatingPredictor |
Uses externally computed predictions More... | |
class | FactorWiseMatrixFactorization |
Matrix factorization with factor-wise learning More... | |
class | FoldInRatingPredictorExtensions |
Extension methods for IFoldInRatingPredictor More... | |
class | GlobalAverage |
Uses the average rating value over all ratings for prediction More... | |
class | GSVDPlusPlus |
Item Attribute Aware SVD++: Matrix factorization that also takes into account what users have rated and its attributes. More... | |
interface | IFoldInRatingPredictor |
Rating predictor that allows folding in new users More... | |
interface | IIncrementalRatingPredictor |
Interface for rating predictors which support incremental training More... | |
class | IncrementalRatingPredictor |
Base class for rating predictors that support incremental training More... | |
interface | IRatingPredictor |
Interface for rating predictors More... | |
class | ItemAttributeKNN |
Attribute-aware weighted item-based kNN recommender More... | |
class | ItemAverage |
Uses the average rating value of an item for prediction More... | |
class | ItemKNN |
Weighted item-based kNN More... | |
interface | ITimeAwareRatingPredictor |
Interface for time-aware rating predictors More... | |
interface | ITransductiveRatingPredictor |
Rating predictor that knows beforehand what it will have to rate More... | |
class | KNN |
Base class for rating predictors that use some kind of kNN More... | |
class | LatentFeatureLogLinearModel |
Latent-feature log linear model More... | |
class | MatrixFactorization |
Simple matrix factorization class, learning is performed by stochastic gradient descent (SGD) More... | |
class | NaiveBayes |
Attribute-aware rating predictor using Naive Bayes More... | |
class | Random |
Uses a random rating value for prediction More... | |
class | RatingPredictor |
Abstract class for rating predictors that keep the rating data in memory for training (and possibly prediction) More... | |
class | SigmoidCombinedAsymmetricFactorModel |
Asymmetric factor model which represents items in terms of the users that rated them, and users in terms of the items they rated More... | |
class | SigmoidItemAsymmetricFactorModel |
Asymmetric factor model More... | |
class | SigmoidSVDPlusPlus |
SVD++: Matrix factorization that also takes into account what users have rated; variant that uses a sigmoid function More... | |
class | SigmoidUserAsymmetricFactorModel |
Asymmetric factor model which represents items in terms of the users that rated them More... | |
class | SlopeOne |
Frequency-weighted Slope-One rating prediction More... | |
class | SocialMF |
Social-network-aware matrix factorization More... | |
class | SVDPlusPlus |
SVD++: Matrix factorization that also takes into account what users have rated More... | |
class | TimeAwareBaseline |
Time-aware bias model More... | |
class | TimeAwareBaselineWithFrequencies |
Time-aware bias model with frequencies More... | |
class | TimeAwareRatingPredictor |
Abstract class for time-aware rating predictors More... | |
class | TransductiveRatingPredictorExtensions |
Helper methods for ITransductiveRatingPredictor More... | |
class | UserAttributeKNN |
Weighted kNN recommender based on user attributes More... | |
class | UserAverage |
Uses the average rating value of a user for predictions More... | |
class | UserItemBaseline |
Baseline method for rating prediction More... | |
class | UserKNN |
Weighted user-based kNN More... | |
Enumerations | |
enum | OptimizationTarget { RMSE, MAE, LogisticLoss } |
Enumeration to represent different optimization targets for rating prediction More... | |
This namespace contains rating predictors and some helper classes for rating prediction.
enum OptimizationTarget |