features.py 文件源码

def _calculate(self, X, y, categorical, metafeatures, helpers):
        occurrences = helpers.get_value("ClassOccurrences")

        min_value = np.iinfo(np.int64).max
        if len(y.shape) == 2:
            for i in range(y.shape[1]):
                for num_occurrences in occurrences[i].values():
                    if num_occurrences < min_value:
                        min_value = num_occurrences
        else:
            for num_occurrences in occurrences.values():
                if num_occurrences < min_value:
                    min_value = num_occurrences
        return float(min_value) / float(y.shape[0])


# aka default accuracy