Hey all, The *RecommenderEvaluator *has the option to choose how big your training set is (and so choosing the test set size as well), but the *RecommenderIRStatsEvaluator* does not seem to have this argument in its *.evaluate()*-method. That's why I was wondering how the internals of the *RecommenderIRStatsEvaluator* work.
I have the following questions on *RecommenderIRStatsEvaluator*: - Is there a way to specify the train and test set like you can with the *RecommenderEvaluator*? - Is it possible to perform k-fold cross-validation with the *RecommenderIRStatsEvaluator*? - How does the default way of evaluation work with *RecommenderIRStatsEvaluator*? If somebody has an answer to any of these questions it would be greatly appreciated. Kind regards, Floris Devriendt
