Have the implementation of reliefF weighted with the prior probability of each class?

File: scoring_utils.py
Function: compute_score(attr, **mcmap**, NN, feature, inst, nan_entries, headers, class_type, X, y, labels_std, data_type, near=True)

In compute_score, the parameter mcmap stores class frequencies, but it doesnot seem to have been used in the the process of normalization.