Abtract class for combining several prediction methods. 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 | |
abstract void | LoadModel (string file) |
Get the model parameters from a file. | |
abstract float | Predict (int user_id, int item_id) |
Predict rating or score for a given user-item combination. | |
abstract void | SaveModel (string file) |
Save the model parameters to a file. | |
string | ToString () |
Return a string representation of the recommender. | |
virtual void | Train () |
Learn the model parameters of the recommender from the training data. | |
Public Attributes | |
List< IRecommender > | recommenders = new List<IRecommender>() |
list of recommenders | |
Properties | |
float | MaxRating [get, set] |
The max rating value. | |
float | MinRating [get, set] |
The min rating value. |
Abtract class for combining several prediction methods.
virtual bool CanPredict | ( | int | user_id, | |
int | item_id | |||
) | [inline, virtual] |
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] |
create a shallow copy of the object
abstract void LoadModel | ( | string | filename | ) | [pure virtual] |
Get the model parameters from a file.
filename | the name of the file to read from |
Implements IRecommender.
Implemented in WeightedEnsemble.
abstract float Predict | ( | int | user_id, | |
int | item_id | |||
) | [pure virtual] |
Predict rating or score for a given user-item combination.
user_id | the user ID | |
item_id | the item ID |
Implements IRecommender.
Implemented in WeightedEnsemble.
abstract void SaveModel | ( | string | filename | ) | [pure virtual] |
Save the model parameters to a file.
filename | the name of the file to write to |
Implements IRecommender.
Implemented in WeightedEnsemble.
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_ItemMapping, BPRMF_ItemMapping_Optimal, BPRMF_ItemMappingKNN, BPRMF_ItemMappingSVR, BPRMF_UserMapping, BPRMF_UserMapping_Optimal, BPRLinear, BPRMF, ItemAttributeKNN, ItemAttributeSVM, ItemKNN, ItemRecommender, MultiCoreBPRMF, SoftMarginRankingMF, UserAttributeKNN, UserKNN, WeightedBPRMF, WeightedItemKNN, WeightedUserKNN, WRMF, BiasedMatrixFactorization, CoClustering, Constant, FactorWiseMatrixFactorization, ItemAttributeKNN, ItemKNNCosine, ItemKNNPearson, LatentFeatureLogLinearModel, MatrixFactorization, RatingPredictor, SigmoidItemAsymmetricFactorModel, SigmoidSVDPlusPlus, SocialMF, SVDPlusPlus, TimeAwareBaseline, TimeAwareBaselineWithFrequencies, UserAttributeKNN, UserItemBaseline, UserKNNCosine, and UserKNNPearson.
List<IRecommender> recommenders = new List<IRecommender>() |
list of recommenders
float MaxRating [get, set] |
The max rating value.
The max rating value
float MinRating [get, set] |
The min rating value.
The min rating value