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 can be made for a given user-item combination. | |
abstract void | LoadModel (string file) |
Get the model parameters from a file. | |
abstract double | 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 | |
double | MaxRatingValue [get, set] |
The max rating value. | |
double | MinRatingValue [get, set] |
The min rating value. |
Abtract class for combining several prediction methods.
virtual bool CanPredict | ( | int | user_id, | |
int | item_id | |||
) | [virtual] |
Check whether a useful prediction can be made for a given user-item combination.
user_id | the user ID | |
item_id | the item ID |
Implements IRecommender.
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 double 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 BPR_Linear, BPRMF, ItemAttributeKNN, ItemKNN, ItemRecommender, UserAttributeKNN, UserKNN, WeightedItemKNN, WeightedUserKNN, WRMF, BiasedMatrixFactorization, FactorWiseMatrixFactorization, ItemAttributeKNN, ItemKNNCosine, ItemKNNPearson, MatrixFactorization, RatingPredictor, UserAttributeKNN, UserItemBaseline, UserKNNCosine, and UserKNNPearson.
List<IRecommender> recommenders = new List<IRecommender>() |
list of recommenders
double MaxRatingValue [get, set] |
The max rating value.
The max rating value
double MinRatingValue [get, set] |
The min rating value.
The min rating value