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. |
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