from sklearn.feature_selection import  VarianceThreshold

#数据预处理过滤式特征选取VarianceThreshold模型

def test_VarianceThreshold():

    X=[[100,1,2,3],

       [100,4,5,6],

       [100,7,8,9],

       [101,11,12,13]]

    selector=VarianceThreshold(1)

    selector.fit(X)

    print("Variances is %s"%selector.variances_)

    print("After transform is %s"%selector.transform(X))

    print("The surport is %s"%selector.get_support(True))

    print("After reverse transform is %s"%selector.inverse_transform(selector.transform(X)))

#调用test_VarianceThreshold()

test_VarianceThreshold()