MyMediaLite
3.01
|
Interface for recommenders that take binary item attributes into account. More...
Public Member Functions | |
bool | CanPredict (int user_id, int item_id) |
Check whether a useful prediction (i.e. not using a fallback/default answer) can be made for a given user-item combination. | |
void | LoadModel (string filename) |
Get the model parameters from a file. | |
float | Predict (int user_id, int item_id) |
Predict rating or score for a given user-item combination. | |
void | SaveModel (string filename) |
Save the model parameters to a file. | |
string | ToString () |
Return a string representation of the recommender. | |
void | Train () |
Learn the model parameters of the recommender from the training data. | |
Properties | |
SparseBooleanMatrix | ItemAttributes [get, set] |
int | NumItemAttributes [get] |
Interface for recommenders that take binary item attributes into account.
bool CanPredict | ( | int | user_id, |
int | item_id | ||
) | [inherited] |
Check whether a useful prediction (i.e. not using a fallback/default answer) can be made for a given user-item combination.
It is up to the recommender implementor to decide when a prediction is useful, and to document it accordingly.
user_id | the user ID |
item_id | the item ID |
Implemented in RatingPredictor, Ensemble, ItemRecommender, BiPolarSlopeOne, Constant, SlopeOne, GlobalAverage, UserAverage, ItemAverage, and Random.
void LoadModel | ( | string | filename | ) | [inherited] |
Get the model parameters from a file.
filename | the name of the file to read from |
Implemented in BPRMF, MatrixFactorization, BiasedMatrixFactorization, CoClustering, SVDPlusPlus, BPRLinear, FactorWiseMatrixFactorization, UserItemBaseline, SigmoidCombinedAsymmetricFactorModel, SigmoidSVDPlusPlus, SigmoidItemAsymmetricFactorModel, SigmoidUserAsymmetricFactorModel, BiPolarSlopeOne, ItemKNN, SlopeOne, ItemAttributeSVM, MF, MostPopularByAttributes, MostPopular, EntityAverage, KNN, Ensemble, GlobalAverage, ItemRecommender, WeightedEnsemble, RatingPredictor, KNN, Constant, Random, Random, and Zero.
float Predict | ( | int | user_id, |
int | item_id | ||
) | [inherited] |
Predict rating or score for a given user-item combination.
user_id | the user ID |
item_id | the item ID |
Implemented in BPRMF, BiasedMatrixFactorization, LatentFeatureLogLinearModel, TimeAwareBaseline, BPRMF_ItemMapping, MatrixFactorization, BPRLinear, BPRMF_UserMapping, FactorWiseMatrixFactorization, UserItemBaseline, CoClustering, SVDPlusPlus, SigmoidCombinedAsymmetricFactorModel, ItemAttributeSVM, SigmoidSVDPlusPlus, MF, MostPopularByAttributes, SigmoidItemAsymmetricFactorModel, SigmoidUserAsymmetricFactorModel, Ensemble, BiPolarSlopeOne, ItemRecommender, RatingPredictor, SlopeOne, ItemKNN, WeightedEnsemble, MostPopular, Constant, UserKNN, GlobalAverage, UserKNN, ItemKNN, UserAverage, ItemAverage, Random, WeightedItemKNN, Random, WeightedUserKNN, and Zero.
void SaveModel | ( | string | filename | ) | [inherited] |
Save the model parameters to a file.
filename | the name of the file to write to |
Implemented in BPRMF, MatrixFactorization, BiasedMatrixFactorization, CoClustering, SVDPlusPlus, BPRLinear, FactorWiseMatrixFactorization, UserItemBaseline, SigmoidCombinedAsymmetricFactorModel, BiPolarSlopeOne, SigmoidItemAsymmetricFactorModel, SigmoidUserAsymmetricFactorModel, SlopeOne, ItemAttributeSVM, MostPopularByAttributes, MF, EntityAverage, MostPopular, ItemRecommender, Ensemble, KNN, GlobalAverage, RatingPredictor, WeightedEnsemble, Constant, Random, KNN, Random, and Zero.
string ToString | ( | ) | [inherited] |
Return a string representation of the recommender.
The ToString() method of recommenders should list the class name and all hyperparameters, separated by space characters.
Implemented in BPRMF, BiasedMatrixFactorization, BPRMF_Mapping, SVDPlusPlus, MatrixFactorization, CoClustering, SigmoidCombinedAsymmetricFactorModel, SigmoidItemAsymmetricFactorModel, TimeAwareBaseline, SigmoidUserAsymmetricFactorModel, LatentFeatureLogLinearModel, FactorWiseMatrixFactorization, SigmoidSVDPlusPlus, BPRLinear, UserItemBaseline, BPRMF_ItemMapping, SocialMF, BPRMF_UserMapping, TimeAwareBaselineWithFrequencies, WRMF, MultiCoreBPRMF, BPRMF_ItemMapping_Optimal, BPRMF_ItemMappingSVR, SoftMarginRankingMF, ItemAttributeSVM, BPRMF_UserMapping_Optimal, BPRMF_ItemMappingKNN, WeightedBPRMF, ItemRecommender, RatingPredictor, ItemKNN, UserKNN, UserAttributeKNN, UserKNNCosine, Constant, UserKNNPearson, ItemAttributeKNN, ItemAttributeKNN, UserAttributeKNN, WeightedItemKNN, ItemKNNPearson, WeightedUserKNN, and ItemKNNCosine.
SparseBooleanMatrix ItemAttributes [get, set] |
the binary item attributes
Implemented in BPRMF_Mapping, MostPopularByAttributes, BPRLinear, BPRMF_ItemMapping, ItemAttributeSVM, ItemAttributeKNN, and ItemAttributeKNN.
int NumItemAttributes [get] |
an integer stating the number of attributes
Implemented in BPRMF_Mapping, MostPopularByAttributes, BPRLinear, BPRMF_ItemMapping, ItemAttributeKNN, ItemAttributeSVM, and ItemAttributeKNN.