質問編集履歴
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@@ -40,7 +40,7 @@
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data.feature_names[skb.get_support()]
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AttributeError: 'numpy.ndarray' object has no attribute 'feature_names'
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#
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# 下記を試してみましたが上手くいかず。。。。
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df.columns[skb.get_support()]
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IndexError: boolean index did not match indexed array along dimension 0; dimension is 57 but corresponding boolean dimension is 56
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2
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@@ -9,10 +9,10 @@
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from sklearn.feature_selection import chi2
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df = pd.read_csv('/Users/hoge/Desktop/ファイル名.csv')
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data = np.array(df)
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X =
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X = data[:,1:58]
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y =
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y = data[:,0]
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ss = ShuffleSplit(n_splits=1, train_size=0.8, test_size=0.2)
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train_index, test_index = next(ss.split(X, y))
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@@ -26,16 +26,23 @@
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# 絞り込まれた20
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skb.get_support()
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array([False, False, False, False, True, True, False, False, False,
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True, True, True, False, True, False, False, False, False,
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False, False, True, False, True, True, True, False, False,
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False, True, False, False, True, True, False, True, False,
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True, True, False, False, True, False, True, True, False,
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False, False, False, False, False, False, False, False, False,
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True, False])
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# skb.get_support()で絞り込まれた
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# skb.get_support()で絞り込まれたtrue,falseを名称で確認したい
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# feature_namesが入っていないデータなのでおそらく仕方ない
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data.feature_names[skb.get_support()]
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AttributeError: 'numpy.ndarray' object has no attribute 'feature_names'
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# arrayに変換しているので、columnsも呼び出せない
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df.columns[skb.get_support()]
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IndexError: boolean index did not match indexed array along dimension 0; dimension is 57 but corresponding boolean dimension is 56
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```
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1
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@@ -24,9 +24,11 @@
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X_train_new = skb.transform(X_train)
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X_train_new.shape, X_train.shape
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# 絞り込まれた20
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# 絞り込まれた20
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skb.get_support()
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# skb.get_support()で絞り込まれた列名(カラム名）を確認したい
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# feature_namesが入っていないデータなのでおそらく仕方ない
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df.feature_names[skb.get_support()]
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AttributeError: 'numpy.ndarray' object has no attribute 'feature_names'
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