, including all inherited members.
| AddFeedback(ICollection< Tuple< int, int >> feedback) | MF | [inline, virtual] |
| AddItem(int item_id) (defined in BPRMF) | BPRMF | [inline, protected, virtual] |
| AddUser(int user_id) (defined in MF) | MF | [inline, protected, virtual] |
| BiasReg | BPRMF | |
| BPRMF() | BPRMF | [inline] |
| CanPredict(int user_id, int item_id) | Recommender | [inline, virtual] |
| Clone() | Recommender | [inline] |
| ComputeObjective() | BPRMF | [inline, virtual] |
| Feedback | ItemRecommender | |
| InitMean | MF | |
| InitModel() (defined in BPRMF) | BPRMF | [inline, protected, virtual] |
| InitStdDev | MF | |
| item_bias | BPRMF | [protected] |
| item_factors | MF | [protected] |
| Iterate() | BPRMF | [inline, virtual] |
| IterateWithoutReplacementUniformPair() | BPRMF | [inline, protected, virtual] |
| IterateWithoutReplacementUniformPair(IList< int > indices) | BPRMF | [inline, protected, virtual] |
| IterateWithoutReplacementUniformUser() | BPRMF | [inline, protected, virtual] |
| IterateWithReplacementUniformPair() | BPRMF | [inline, protected, virtual] |
| IterateWithReplacementUniformUser() | BPRMF | [inline, protected, virtual] |
| learn_rate | BPRMF | [protected] |
| LearnRate | BPRMF | |
| LoadModel(string file) | BPRMF | [inline, virtual] |
| MaxItemID | Recommender | |
| MaxUserID | Recommender | |
| MF() | MF | [inline] |
| num_factors | MF | [protected] |
| NumFactors | MF | |
| NumIter | MF | |
| Predict(int user_id, int item_id) | BPRMF | [inline, virtual] |
| random | BPRMF | [protected, static] |
| 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 | |
| reg_i | BPRMF | [protected] |
| reg_j | BPRMF | [protected] |
| reg_u | BPRMF | [protected] |
| RegI | BPRMF | |
| RegJ | BPRMF | |
| RegU | BPRMF | |
| RemoveFeedback(ICollection< Tuple< int, int >> feedback) | MF | [inline, virtual] |
| RemoveItem(int item_id) | BPRMF | [inline, virtual] |
| RemoveUser(int user_id) | MF | [inline, virtual] |
| RetrainItem(int item_id) | BPRMF | [inline, protected, virtual] |
| RetrainUser(int user_id) | BPRMF | [inline, protected, virtual] |
| SampleItemPair(ICollection< int > user_items, out int item_id, out int other_item_id) | BPRMF | [inline, protected, virtual] |
| SampleOtherItem(int user_id, int item_id, out int other_item_id) | BPRMF | [inline, protected, virtual] |
| SampleTriple(out int user_id, out int item_id, out int other_item_id) | BPRMF | [inline, protected, virtual] |
| SampleUser() | BPRMF | [inline, protected, virtual] |
| SaveModel(string file) | BPRMF | [inline, virtual] |
| ScoreItems(IList< int > accessed_items, IList< int > candidate_items) | BPRMF | [inline] |
| ToString() | BPRMF | [inline] |
| Train() | BPRMF | [inline, virtual] |
| UniformUserSampling | BPRMF | |
| update_j | BPRMF | [protected] |
| UpdateFactors(int user_id, int item_id, int other_item_id, bool update_u, bool update_i, bool update_j) | BPRMF | [inline, protected, virtual] |
| UpdateItems | IncrementalItemRecommender | |
| UpdateJ | BPRMF | |
| UpdateUsers | IncrementalItemRecommender | |
| user_factors | MF | [protected] |
| WithReplacement | BPRMF | |
