/**
* Evaluate an iterative recommender on the folds of a dataset split, display results on STDOUT.
*
* @param recommender a rating predictor
* @param num_folds the number of folds
* @param max_iter the maximum number of iterations
* @param find_iter the report interval
* @throws Exception
*/
public static void doIterativeCrossValidation(
RatingPredictor recommender, int num_folds, int max_iter, Integer find_iter)
throws Exception {
RatingCrossValidationSplit split =
new RatingCrossValidationSplit(recommender.getRatings(), num_folds);
doIterativeCrossValidation(recommender, split, max_iter, find_iter);
}
/**
* Evaluate on the folds of a dataset split.
*
* @param recommender a rating predictor
* @param num_folds the number of folds
* @param compute_fit if set to true measure fit on the training data as well
* @param show_results if set to true to print results to STDERR
* @return a dictionary containing the average results over the different folds of the split
* @throws Exception
*/
public static RatingPredictionEvaluationResults doCrossValidation(
RatingPredictor recommender, Integer num_folds, Boolean compute_fit, Boolean show_results)
throws Exception {
if (num_folds == null) num_folds = 5;
if (compute_fit == null) compute_fit = false;
if (show_results == null) show_results = false;
RatingCrossValidationSplit split =
new RatingCrossValidationSplit(recommender.getRatings(), num_folds);
return doCrossValidation(recommender, split, compute_fit, show_results);
}