質問編集履歴
3
コード編集
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# autoscaling
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if do_autoscaling:
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autoscaled_x_train_pre = (x_train - x_train.mean(axis=0)) / x_train.std(axis=0, ddof=1)
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autoscaled_x_train =np.
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autoscaled_x_train =np.concatenate([autoscaled_x_train_pre, x2_train],axis=1)
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autoscaled_y_train = (y_train - y_train.mean()) / y_train.std(ddof=1)
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autoscaled_x_test_pre = (x_test - x_train.mean(axis=0)) / x_train.std(axis=0, ddof=1)
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autoscaled_x_train =np.
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autoscaled_x_train =np.concatenate([[autoscaled_x_test_pre], [x2_test]], axis=1)
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else:
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autoscaled_x_train = x_train.copy()
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autoscaled_y_train = y_train.copy()
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```
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エラー：
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ValueError Traceback (most recent call last)
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<ipython-input-
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<ipython-input-40-de7659de5d58> in <module>
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99 # DCV
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100 inner_cv = GridSearchCV(svm.SVR(), parameters, scoring = 'max_error', n_jobs = -1, cv = inner_fold_number)
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--> 101 y_pred = double_cross_validation(gs_cv=inner_cv, x=x, x2 =x2, y=y, outer_fold_number=outer_fold_number, do_autoscaling=True, random_state=0)
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103 # 汎化性能 from DCV using SVR
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<ipython-input-
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<ipython-input-40-de7659de5d58> in double_cross_validation(gs_cv, x, x2, y, outer_fold_number, do_autoscaling, random_state)
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63 if do_autoscaling:
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64 autoscaled_x_train_pre = (x_train - x_train.mean(axis=0)) / x_train.std(axis=0, ddof=1)
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---> 65 autoscaled_x_train =np.insert(autoscaled_x_train_pre, x2_train)
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66 autoscaled_y_train = (y_train - y_train.mean()) / y_train.std(ddof=1)
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67 autoscaled_x_test_pre = (x_test - x_train.mean(axis=0)) / x_train.std(axis=0, ddof=1)
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---> 68 autoscaled_x_train =np.concatenate([[autoscaled_x_test_pre], [x2_test]], axis=1)
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69 else:
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70 autoscaled_x_train = x_train.copy()
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ValueError: all the input array dimensions except for the concatenation axis must match exactly
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よろしくお願いします。
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](76b8eeb2cfb84fe71c8d4025542ffe90.jpeg)
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写真の追加
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よろしくお願いします。
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](76b8eeb2cfb84fe71c8d4025542ffe90.jpeg)
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](76b8eeb2cfb84fe71c8d4025542ffe90.jpeg)
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TypeError: insert() missing 1 required positional argument: 'values'
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よろしくお願いします。
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よろしくお願いします。
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](76b8eeb2cfb84fe71c8d4025542ffe90.jpeg)
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