Hello,
I am using this RNN python code from this github website: https://github.com/2wavetech/Time-Series...Prediction
and more specifically the first part/approach named: LSTM Network for Regression
This guy uses data 66% for training and 33% for testing. And makes predictions for the known but unseen data. My question is what modifications in the code should I use in order to make prediction for new and unseen data?
Thank you...
I am using this RNN python code from this github website: https://github.com/2wavetech/Time-Series...Prediction
and more specifically the first part/approach named: LSTM Network for Regression
This guy uses data 66% for training and 33% for testing. And makes predictions for the known but unseen data. My question is what modifications in the code should I use in order to make prediction for new and unseen data?
Thank you...