C# Class MyMediaLite.Eval.Ratings

Evaluation class for rating prediction
Datei anzeigen Open project: zenogantner/MML-KDD Class Usage Examples

Public Methods

Method Description
DisplayResults ( double>.Dictionary result ) : void

Write rating prediction results to STDOUT

Evaluate ( IRatingPredictor recommender, IRatings ratings ) : double>.Dictionary

Evaluates a rating predictor for RMSE, MAE, and NMAE

For NMAE, see "Eigentaste: A Constant Time Collaborative Filtering Algorithm" by Goldberg et al.

EvaluateOnSplit ( RatingPredictor recommender, ISplit split ) : double>.Dictionary

Evaluate on the folds of a dataset split

EvaluateOnSplit ( RatingPredictor recommender, ISplit split, bool show_results ) : double>.Dictionary

Evaluate on the folds of a dataset split

EvaluateOnline ( IRatingPredictor recommender, IRatings ratings ) : double>.Dictionary

Online evaluation for rating prediction

Every rating that is tested is added to the training set afterwards.

Method Details

DisplayResults() public static method

Write rating prediction results to STDOUT
public static DisplayResults ( double>.Dictionary result ) : void
result double>.Dictionary the output of the Evaluate() method
return void

Evaluate() public static method

Evaluates a rating predictor for RMSE, MAE, and NMAE
For NMAE, see "Eigentaste: A Constant Time Collaborative Filtering Algorithm" by Goldberg et al.
public static Evaluate ( IRatingPredictor recommender, IRatings ratings ) : double>.Dictionary
recommender IRatingPredictor rating predictor
ratings IRatings Test cases
return double>.Dictionary

EvaluateOnSplit() public static method

Evaluate on the folds of a dataset split
public static EvaluateOnSplit ( RatingPredictor recommender, ISplit split ) : double>.Dictionary
recommender MyMediaLite.RatingPrediction.RatingPredictor a rating predictor
split ISplit a rating dataset split
return double>.Dictionary

EvaluateOnSplit() public static method

Evaluate on the folds of a dataset split
public static EvaluateOnSplit ( RatingPredictor recommender, ISplit split, bool show_results ) : double>.Dictionary
recommender MyMediaLite.RatingPrediction.RatingPredictor a rating predictor
split ISplit a rating dataset split
show_results bool set to true to print results to STDERR
return double>.Dictionary

EvaluateOnline() public static method

Online evaluation for rating prediction
Every rating that is tested is added to the training set afterwards.
public static EvaluateOnline ( IRatingPredictor recommender, IRatings ratings ) : double>.Dictionary
recommender IRatingPredictor rating predictor
ratings IRatings Test cases
return double>.Dictionary