View source: R/generic_functions.R
aggregate_CV_split_results | R Documentation |
This 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)
rm_obj |
The results metric object. |
prediction_results |
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 |
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.
rm_main_results()
, rm_confusion_matrix()
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