selection.py 文件源码

def freq_entropy(self, features, freq_table):
        """
        """
        feat_vals = {}
        feat_freqs = self.frequency(features, freq_table)
        feat_ents = self.entropy(features, freq_table)
        for feat in features.keys():
            freq = feat_freqs[feat]
            ent = feat_ents[feat]
            feat_vals[feat] = numpy.log(freq + 1e-3) * (ent + 1e-3)
        return feat_vals