R/generic_functions.R
aggregate_CV_split_results.RdThis is a function that must be implemented by all RM objects. This function is called by the cross-validator results aggregated across all cross-validation splits. This method should not be called directly but instead is used internally by the cross-validator (CV) object.
aggregate_CV_split_results(rm_obj, prediction_results)The results metric object.
A data frame containing the prediction results to
be aggregated over CV splits. The results in this data frame are the
results returned by the CL's get_predictions() method, along with a
column that specifies which cross-validation split the results come from.
Thus the columns in the prediction_results data frame are: * CV: The
cross-validation split number the results come from. * test_time: The
time bin a test point comes from. * actual_labels: The actual labels for
what happened on a trial. * predicted_labels: The predictions that
classifier made. * decision_vals.___: A set of columns with the
decision values for each class returned by the classifier.
A result-metric object that contains the decoding results aggregated
across cross-validation splits, and thus should take up less memory than
the original prediction_results that was passed in to this method.