visualization.py 文件源码

def mi_panel(self, *args, **kwargs):
        ranks  = self.rank_panel(*args, **kwargs)
        panel = []
        for rank_vector in ranks:
            scores = []
            for rank in xrange(1,len(rank_vector)):
                # Recall ranks start at 1. The highest rank is uninteresting.
                scores.append(normalized_mi(self.dataset.y, rank_vector <= rank))
            panel.append(scores)
        return np.vstack(panel)

########################################
# Plotting utilities