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.
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.
 



Copyright © 2008–2014 The Apache Software Foundation. All rights reserved.