, including all inherited members.
AddFeedback(ICollection< Tuple< int, int >> feedback) | BPRMF | [inline, virtual] |
AddItem(int item_id) (defined in BPRMF) | BPRMF | [inline, protected, virtual] |
AddUser(int user_id) (defined in BPRMF) | BPRMF | [inline, protected, virtual] |
attribute_to_factor | BPRMF_Mapping | [protected] |
BiasReg | BPRMF | |
BPRMF() | BPRMF | [inline] |
CanPredict(int user_id, int item_id) | Recommender | [inline, virtual] |
CheckSampling() (defined in BPRMF) | BPRMF | [inline, protected] |
Clone() | Recommender | [inline] |
ComputeObjective() | BPRMF | [inline, virtual] |
fast_sampling | BPRMF | [protected] |
fast_sampling_memory_limit | BPRMF | [protected] |
FastSamplingMemoryLimit | BPRMF | |
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] |
IterateMapping() | BPRMF_Mapping | [pure virtual] |
learn_rate | BPRMF | [protected] |
learn_rate_mapping | BPRMF_Mapping | [protected] |
LearnAttributeToFactorMapping() | BPRMF_Mapping | [pure virtual] |
LearnRate | BPRMF | |
LearnRateMapping | BPRMF_Mapping | |
LoadModel(string file) | BPRMF | [inline, virtual] |
MaxItemID | Recommender | |
MaxUserID | Recommender | |
MF() | MF | [inline] |
num_factors | MF | [protected] |
num_init_mapping | BPRMF_Mapping | [protected] |
num_iter_mapping | BPRMF_Mapping | [protected] |
NumFactors | MF | |
NumInitMapping | BPRMF_Mapping | |
NumIter | MF | |
NumIterMapping | BPRMF_Mapping | |
Predict(int user_id, int item_id) | BPRMF | [inline, virtual] |
random | BPRMF | [protected] |
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_mapping | BPRMF_Mapping | [protected] |
reg_u | BPRMF | [protected] |
RegI | BPRMF | |
RegJ | BPRMF | |
RegMapping | BPRMF_Mapping | |
RegU | BPRMF | |
RemoveFeedback(ICollection< Tuple< int, int >> feedback) | BPRMF | [inline, virtual] |
RemoveItem(int item_id) | BPRMF | [inline, virtual] |
RemoveUser(int user_id) | BPRMF | [inline, virtual] |
RetrainItem(int item_id) | BPRMF | [inline, protected, virtual] |
RetrainUser(int user_id) | BPRMF | [inline, protected, virtual] |
SampleItemPair(int u, out int i, out int j) | BPRMF | [inline, protected, virtual] |
SampleOtherItem(int u, int i, out int j) | BPRMF | [inline, protected, virtual] |
SampleTriple(out int u, out int i, out int j) | 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 u, int i, int j, bool update_u, bool update_i, bool update_j) | BPRMF | [inline, protected, virtual] |
UpdateItems | IncrementalItemRecommender | |
UpdateJ | BPRMF | |
UpdateUsers | IncrementalItemRecommender | |
user_factors | MF | [protected] |
user_neg_items | BPRMF | [protected] |
user_pos_items | BPRMF | [protected] |
WithReplacement | BPRMF | |