, including all inherited members.
AddItem(int item_id) (defined in BiasedMatrixFactorization) | BiasedMatrixFactorization | [inline, protected, virtual] |
AdditionalFeedback | SigmoidCombinedAsymmetricFactorModel | |
AddRatings(IRatings ratings) | MatrixFactorization | [inline, virtual] |
AddUser(int user_id) (defined in BiasedMatrixFactorization) | BiasedMatrixFactorization | [inline, protected, virtual] |
BiasedMatrixFactorization() | BiasedMatrixFactorization | [inline] |
BiasLearnRate | BiasedMatrixFactorization | |
BiasReg | BiasedMatrixFactorization | |
BoldDriver | BiasedMatrixFactorization | |
CanPredict(int user_id, int item_id) | Recommender | [inline, virtual] |
Clone() | Recommender | [inline] |
compute_gradient_common | BiasedMatrixFactorization | [protected] |
ComputeLoss() | BiasedMatrixFactorization | [inline, protected] |
ComputeObjective() | SigmoidCombinedAsymmetricFactorModel | [inline, virtual] |
FoldIn(IList< Tuple< int, float >> rated_items) | SigmoidCombinedAsymmetricFactorModel | [inline, protected, virtual] |
FrequencyRegularization | BiasedMatrixFactorization | |
global_bias | MatrixFactorization | [protected] |
IncrementalRatingPredictor() | IncrementalRatingPredictor | [inline] |
InitMean | MatrixFactorization | |
InitModel() | SigmoidCombinedAsymmetricFactorModel | [inline, protected, virtual] |
InitStdDev | MatrixFactorization | |
item_bias | BiasedMatrixFactorization | [protected] |
item_factors | MatrixFactorization | [protected] |
Iterate(IList< int > rating_indices, bool update_user, bool update_item) | SigmoidCombinedAsymmetricFactorModel | [inline, protected, virtual] |
MyMediaLite::RatingPrediction::BiasedMatrixFactorization.Iterate() | BiasedMatrixFactorization | [inline, virtual] |
last_loss | BiasedMatrixFactorization | [protected] |
LearnRate | MatrixFactorization | |
LoadModel(string filename) | SigmoidCombinedAsymmetricFactorModel | [inline] |
Loss | BiasedMatrixFactorization | |
MatrixFactorization() | MatrixFactorization | [inline] |
max_rating | RatingPredictor | [protected] |
MaxItemID | Recommender | |
MaxRating | RatingPredictor | |
MaxThreads | BiasedMatrixFactorization | |
MaxUserID | Recommender | |
min_rating | RatingPredictor | [protected] |
MinRating | RatingPredictor | |
NaiveParallelization | BiasedMatrixFactorization | |
NumFactors | MatrixFactorization | |
NumIter | MatrixFactorization | |
PrecomputeItemFactors() | SigmoidCombinedAsymmetricFactorModel | [inline, protected] |
PrecomputeItemFactors(int item_id) | SigmoidCombinedAsymmetricFactorModel | [inline, protected] |
PrecomputeUserFactors() | SigmoidCombinedAsymmetricFactorModel | [inline, protected] |
PrecomputeUserFactors(int user_id) | SigmoidCombinedAsymmetricFactorModel | [inline, protected] |
Predict(int user_id, int item_id) | SigmoidCombinedAsymmetricFactorModel | [inline] |
MyMediaLite::RatingPrediction::BiasedMatrixFactorization.Predict(float[] user_vector, int item_id) | BiasedMatrixFactorization | [inline, protected, virtual] |
Predict(int user_id, int item_id, bool bound) (defined in MatrixFactorization) | MatrixFactorization | [inline, protected] |
rating_range_size | BiasedMatrixFactorization | [protected] |
ratings | RatingPredictor | [protected] |
Ratings | RatingPredictor | |
Recommend(int user_id, int n=-1, System.Collections.Generic.ICollection< int > ignore_items=null, System.Collections.Generic.ICollection< int > candidate_items=null) (defined in Recommender) | Recommender | [inline, virtual] |
MyMediaLite::IRecommender.Recommend(int user_id, int n=-1, ICollection< int > ignore_items=null, ICollection< int > candidate_items=null) | IRecommender | |
RegI | BiasedMatrixFactorization | |
RegU | BiasedMatrixFactorization | |
Regularization | BiasedMatrixFactorization | |
RemoveItem(int item_id) | BiasedMatrixFactorization | [inline, virtual] |
RemoveRatings(IDataSet ratings) | MatrixFactorization | [inline, virtual] |
RemoveUser(int user_id) | BiasedMatrixFactorization | [inline, virtual] |
RetrainItem(int item_id) | BiasedMatrixFactorization | [inline, virtual] |
RetrainUser(int user_id) | BiasedMatrixFactorization | [inline, virtual] |
SaveModel(string filename) | SigmoidCombinedAsymmetricFactorModel | [inline] |
ScoreItems(IList< Tuple< int, float >> rated_items, IList< int > candidate_items) | MatrixFactorization | [inline] |
SetupLoss() | BiasedMatrixFactorization | [inline, protected] |
SigmoidCombinedAsymmetricFactorModel() | SigmoidCombinedAsymmetricFactorModel | [inline] |
ToString() | SigmoidCombinedAsymmetricFactorModel | [inline] |
Train() | SigmoidCombinedAsymmetricFactorModel | [inline] |
UpdateItems | IncrementalRatingPredictor | |
UpdateRatings(IRatings ratings) | MatrixFactorization | [inline, virtual] |
UpdateUsers | IncrementalRatingPredictor | |
user_bias | BiasedMatrixFactorization | [protected] |
user_factors | MatrixFactorization | [protected] |