使用 Keras 使用多个指标进行预测

Question

The program I am using deals with just the opening column of the apple stock (from yahoo finance).

Basically I want to add other columns into the model to add some complexity into my model. For example, look at the High for the day or even the close of the day.

How do I do this. Do I just change this code below:

regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], 1)))

To

regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], #2 or 3 etc.)))

If so does this mean I change the processed data set from:

data_training_processed = data_training_complete.loc[:, ['Open']].values

To

data_training_processed = data_training_complete.loc[:, ['Open']['High'].values #adding as much as neccessary

If I want to include High into the model.

Answer 1

It remains

regressor.add(LSTM(units = 50, return_sequences = True, input_shape = (X_train.shape[1], 1)))

Because the additional column is already automatically processed correctly by X_train.shape[1] (which will be one higher).

And

data_training_processed = data_training_complete.loc[:, ['Open', 'High']].values