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

Class Summary

Class	Description
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.
GenericRelevantItemsDataSplitter	Picks relevant items to be those with the strongest preference, and includes the other users' preferences in full.
IRStatisticsImpl
LoadEvaluator	Simple helper class for running load on a Recommender.
LoadStatistics
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.