Package org.apache.mahout.cf.taste.impl.eval

Class Summary
AbstractDifferenceRecommenderEvaluator Abstract superclass of a couple implementations, providing shared functionality.
AverageAbsoluteDifferenceRecommenderEvaluator A RecommenderEvaluator which computes the average absolute difference between predicted and actual ratings for users.
GenericRecommenderIRStatsEvaluator For each user, these implementation determine the top n preferences, then evaluate the IR statistics based on a DataModel that does not have these values.
IRStatisticsImpl  
LoadEvaluator Simple helper class for running load on a Recommender.
OrderBasedRecommenderEvaluator Evaluate recommender by comparing order of all raw prefs with order in recommender's output for that user.
RMSRecommenderEvaluator A RecommenderEvaluator which computes the "root mean squared" difference between predicted and actual ratings for users.
 



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