KA_utils.py 文件源码

def ka_erfinv_rank_transform(x):
    '''
        This is used on numeric variable, after doing this operation, one should do MM and SS on all dataset.
    '''
    mm = MinMaxScaler()
    tmp = erfinv(np.clip(np.squeeze(mm.fit_transform(rankdata(x).reshape(-1,1))), 0, 0.999999999))
    tmp = tmp - np.mean(tmp)
    return tmp