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| 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. |
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