Question

我刚开始使用LSTM时间序列预测示例。

在最后一步遇到以下错误，不确定我在这里缺少什么。任何帮助将不胜感激！.ERROR- NameError：未定义名称“ to_list”

def split_sequence(sequence, n_steps):
X, y = list(), list()
for i in range(len(sequence)):
    # find the end of this pattern
    end_ix = i + n_steps
    # check if we are beyond the sequence
    if end_ix > len(sequence)-1:
        break
    # gather input and output parts of the pattern
    seq_x, seq_y = sequence[i:end_ix], sequence[end_ix]
    X.append(seq_x)
    y.append(seq_y)
return array(X), array(y)

# define input sequence
raw_seq = [10, 20, 30, 40, 50, 60, 70, 80, 90]
# choose a number of time steps
n_steps = 3

# split into samples
X, y = split_sequence(raw_seq, n_steps)
# reshape from [samples, timesteps] into [samples, timesteps, features]
n_features = 1
X = X.reshape((X.shape[0], X.shape[1], n_features))
# define model
model = Sequential()
model.add(LSTM(50, activation='relu', input_shape=(n_steps, n_features)))
#----ERROR AT THIS STEP-----------------------------------------

Answer 1

感谢阿拉特。是的，这段代码来自Jason的LSTM教程。缩进是正确的，我检查了两次。看来Keras软件包版本存在问题，因为那只是区别而已。我正在使用Keras 2.1.5。您为Keras使用哪个版本？

如何调用LSTM函数？

1 个答案: