Long-Short Term Memory for Time-Series Forecasting, Enhanced
LSTMModel class
Min-Max Scaling of a Matrix
Predict using a Trained LSTM Model
Summary of a Trained LSTM Model
Long Short Term Memory (LSTM) Model for Time Series Forecasting
Prepare data for Long Short Term Memory (LSTM) Model for Time Series F...
The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Customizable configurations for the model are allowed, improving the capabilities and usability of this model compared to other packages. This package is based on 'keras' and 'tensorflow' modules and the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.