python - 元组索引超出范围，试图重塑

Question

我正在尝试按照下面链接中的 youtube 教程进行操作，但出现错误：“元组索引超出范围”我已将我的代码与视频进行了比较，它似乎匹配。这是返回错误的最后一行代码。我确实创建并编译了模型，必须删除该代码才能发布。关于如何纠正这个问题的任何想法？

#https://www.youtube.com/watch?v=PuZY9q-aKLw

#Load data
company = 'FB'

start = dt.datetime(2012,1,1)
end = dt.datetime(2020,1,1)

data = web.DataReader(company, 'yahoo', start, end)

#Prepare Data
scaler = MinMaxScaler(feature_range=(0,1))
scaled_data = scaler.fit_transform(data['Close'].values.reshape(-1,1))

prediction_days=60

x_train = []
y_train = []

for x in range(prediction_days, len(scaled_data)):
    x_train.append(scaled_data[x-prediction_days:x, 0])
    y_train.append(scaled_data[x, 0])

x_train, y_train = np.array(x_train), np.array(y_train)
x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1))


#Test the model accuracy

test_start = dt.date(2020,1,1)
test_end = dt.datetime.now()

test_data = web.DataReader(company, 'yahoo', test_start, test_end)
actual_prices = test_data['Close'].values

total_dataset = pd.concat((data['Close'], test_data['Close']), axis=0)

model_inputs = total_dataset[len(total_dataset)- len(test_data) - prediction_days:].values
model_inputs = model_inputs.reshape(-1, 1)
model_inputs = scaler.transform(model_inputs)

#Make predictions on test data

x_test = []

for x in range(prediction_days, len(model.inputs)):
    x_test.append(model_inputs[x-prediction_days:x, 0])
    
x_test = np.array(x_test)
x_test = np.reshape(x_test, (x_test.shape[0], x_test.shape[1], 1))

标签： pythonnumpytensorflowkeras