質問編集履歴
3
コード追加
test
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文法修正
test
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Google Colaboratory にて、株のS&P500種指数データを予想する。コードを練習中なのですが、エラー内容が２４の範囲外なのでエラーです。的なことが出てるのですが、多分以下のコードらへんからおかしいと思われるのですが、どこのコードの数字を変更すれば良いのか。わからないため、ご教授お願いいたします。
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```
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for epoch in range(epochs):
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print()
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print(f'Epoch: {epoch+1}')
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run_train()
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extending_seq = train_seq[-test_size:].tolist()
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run_test()
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plt.figure(figsize=(12, 4))
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plt.xlim(-20, len(y)+20)
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plt.grid(True)
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plt.plot(y.numpy())
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plt.plot(
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range(len(y)-test_size, len(y)),
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extending_seq[-test_size:]
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)
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plt.show()
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```
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```
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plt.plot(train_losses)
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```
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```
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plt.plot(test_losses)
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```
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```
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predicted_normalized_labels_list = extending_seq[-test_size:]
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```
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```
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predicted_normalized_labels_array_1d = np.array(predicted_normalized_labels_list)
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predicted_normalized_labels_array_1d
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```
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```
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predicted_normalized_labels_array_2d = predicted_normalized_labels_array_1d.reshape(-1, 1)
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predicted_normalized_labels_array_2d
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```
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```
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predicted_labels_array_2d = scaler.inverse_transform(predicted_normalized_labels_array_2d)
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predicted_labels_array_2d
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```
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```
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len(predicted_labels_array_2d)
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```
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```
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stock_data["Adj Close"][-test_size:]
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```
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```
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len(stock_data["Adj Close"][-test_size:])
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```
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```
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stock_data.index
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```
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```
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x_2018_10_to_2020_09 = np.arange('2018-10', '2020-10', dtype='datetime64[M]')
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x_2018_10_to_2020_09
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```
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```
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len(x_2018_10_to_2020_09)
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```
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```
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fig = plt.figure(figsize=(12, 4))
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plt.title('S$P500 prediction with test data')
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plt.ylabel('Price')
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plt.grid(True)
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plt.autoscale(axis='x', tight=True)
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fig.autofmt_xdate()
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plt.plot(stock_data["Adj Close"]['2016-01':])
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plt.plot(x_2018_10_to_2020_09, predicted_labels_array_2d)
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plt.show()
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```
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```
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stock_data["Adj Close"]['2018-10':]
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```
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```
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len(stock_data["Adj Close"]['2018-10':])
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```
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```
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real_labels_array_1d = stock_data["Adj Close"]['2018-10':].values
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real_labels_array_1d
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```
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```
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```
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```
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predicted_labels_array_1d = predicted_labels_array_2d.flatten()
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```
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```
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len(predicted_labels_array_1d)
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```
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```python
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fig = plt.figure(figsize=(12, 4))
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plt.title('S$P500 prediction with test data')
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plt.ylabel('Price')
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plt.grid(True)
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plt.autoscale(axis='x', tight=True)
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fig.autofmt_xdate()
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plt.plot(stock_data["Adj Close"]['2016-01':])
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plt.plot(x_2018_10_to_2020_09, predicted_labels_array_2d)
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plt.show()
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```
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```python
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stock_data["Adj Close"]['2018-10':]
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```
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```python
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len(stock_data["Adj Close"]['2018-10':])
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```
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```python
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real_labels_array_1d = stock_data["Adj Close"]['2018-10':].values
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real_labels_array_1d
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```
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```python
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predicted_labels_array_2d
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```
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```python
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predicted_labels_array_1d = predicted_labels_array_2d.flatten()
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predicted_labels_array_1d
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```
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```python
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len(predicted_labels_array_1d)
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```
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```python
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up_and_down_list = []
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1
コード追加
test
CHANGED
|
@@ -1 +1 @@
|
|
|
1
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-
python エラー
|
|
1
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+
python エラー 解決策
|
test
CHANGED
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File without changes
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