質問編集履歴
1
エラーを修正しました。
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@@ -37,10 +37,10 @@
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描画のコードは下記ですが、このコードでなくても、上記の結果が画像のようなグラフで表示したいと思っています。
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# 描画
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y_train_predict_std = model.predict((train_query_x)
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y_train_predict_std = model.predict((train_query_x))
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y_train_predict = pd.DataFrame(
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y_train_predict = pd.DataFrame(scaler_y.inverse_transform(y_train_predict_std))
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y_train_predict.columns = ["SALES_PREDICT"]
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plotMin =
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plotMin = train_query_y.min() - ( y_train.max() - y_train.min() ) * 0.1
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plotMax = y_train.max() + ( y_train.max() - y_train.min() ) * 0.1
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tmp = pd.merge( y_train.reset_index(), y_train_predict, left_index=True ,right_index=True )[["num_orders","SALES_PREDICT"]]
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sns.scatterplot( x="num_orders", y="SALES_PREDICT", data=tmp )
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@@ -51,8 +51,18 @@
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エラーコードは下記のとおりです。
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```python
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-------------------------------------------------------
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LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)
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R2 SCORE: TRAIN:0.5284165822957549
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-------------------------------------------------------
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---------------------------------------------------------------------------
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NameError Traceback (most recent call last)
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-
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<ipython-input-417-7134a9c14592> in <module>()
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14 # 描画
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15 y_train_predict_std = model.predict((train_query_x))
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-
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---> 16 y_train_predict = pd.DataFrame(scaler_y.inverse_transform(y_train_predict_std))
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17 y_train_predict.columns = ["SALES_PREDICT"]
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18 plotMin = train_query_y.min() - ( y_train.max() - y_train.min() ) * 0.1
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NameError: name 'scaler_y' is not defined
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```
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