MyMediaLite
3.04
|
Combining several predictors with a weighted ensemble. More...
Public Member Functions | |
virtual 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. | |
Object | Clone () |
create a shallow copy of the object | |
override void | LoadModel (string file) |
Get the model parameters from a file. | |
override float | Predict (int user_id, int item_id) |
Predict rating or score for a given user-item combination. | |
override IList< Tuple< int, float > > | Recommend (int user_id, int n=20, ICollection< int > ignore_items=null, ICollection< int > candidate_items=null) |
Recommend items for a given user. | |
override void | SaveModel (string file) |
Save the model parameters to a file. | |
string | ToString () |
Return a string representation of the recommender. | |
override void | Train () |
Learn the model parameters of the recommender from the training data. | |
Public Attributes | |
IList< IRecommender > | recommenders = new List<IRecommender>() |
list of recommenders | |
IList< float > | weights = new List<float>() |
List of component weights. | |
Protected Attributes | |
double | weight_sum |
Sum of the component weights. | |
Properties | |
float | MaxRating [get, set] |
The max rating value. | |
float | MinRating [get, set] |
The min rating value. |
Combining several predictors with a weighted ensemble.
This recommender does NOT support incremental updates.
virtual bool CanPredict | ( | int | user_id, |
int | item_id | ||
) | [inline, virtual, 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 |
Implements IRecommender.
Object Clone | ( | ) | [inline, inherited] |
create a shallow copy of the object
override void LoadModel | ( | string | filename | ) | [inline, virtual] |
Get the model parameters from a file.
filename | the name of the file to read from |
Implements Ensemble.
override float Predict | ( | int | user_id, |
int | item_id | ||
) | [inline, virtual] |
Predict rating or score for a given user-item combination.
user_id | the user ID |
item_id | the item ID |
Implements Ensemble.
override IList<Tuple<int, float> > Recommend | ( | int | user_id, |
int | n = 20 , |
||
ICollection< int > | ignore_items = null , |
||
ICollection< int > | candidate_items = null |
||
) | [inline, virtual] |
Recommend items for a given user.
user_id | the user ID |
n | the number of items to recommend, -1 for as many as possible |
ignore_items | collection if items that should not be returned; if null, use empty collection |
candidate_items | the candidate items to choose from; if null, use all items |
Implements Ensemble.
override void SaveModel | ( | string | filename | ) | [inline, virtual] |
Save the model parameters to a file.
filename | the name of the file to write to |
Implements Ensemble.
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, UserItemBaseline, BPRLinear, SigmoidSVDPlusPlus, BPRMF_ItemMapping, SocialMF, BPRMF_UserMapping, NaiveBayes, KNN, KNN, MostPopular, TimeAwareBaselineWithFrequencies, WRMF, MultiCoreBPRMF, BPRMF_ItemMapping_Optimal, CLiMF, SoftMarginRankingMF, BPRMF_ItemMappingSVR, ItemAttributeSVM, Recommender, BPRMF_UserMapping_Optimal, BPRMF_ItemMappingKNN, WeightedBPRMF, and Constant.
IList<IRecommender> recommenders = new List<IRecommender>() [inherited] |
list of recommenders
double weight_sum [protected] |
Sum of the component weights.
IList<float> weights = new List<float>() |
List of component weights.
float MaxRating [get, set, inherited] |
The max rating value.
The max rating value
float MinRating [get, set, inherited] |
The min rating value.
The min rating value