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()
吴裕雄 python 机器学习——数据预处理过滤式特征选取VarianceThreshold模型
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