How to predict list elements outside the bounds of a py dataframe?
I built a model based on LSTM and trained it to predict stock price changes during the day, where the unit of time is one second. The test data gives a result comparable to the real one, but I need to get a forecast for the future outside the existing range. What am I doing wrong?
How to predict list elements outside the bounds of a py dataframe?
I built a model based on LSTM and trained it to predict stock price changes during the day, where the unit of time is one second. The test data gives a result comparable to the real one, but I need to get a forecast for the future outside the existing range. What am I doing wrong?