further devopment of fw models
Description:
This issue outlines the steps and enhancements required for the development of forward models in Scilab
Tasks:
Ensembles
- Create a new class that maintains an array (or similar structure) of the parent class for ensemble-based modeling.
Pre-training Forward Models
- Implement pre-training with a parameter call.
- Incorporate learning from offline data to initialize models effectively before online training.
Overfitting Prevention
- Design train/test splits to minimize the risk of overfitting during model training.
One-step Prediction
- Implement one-step prediction functionality to facilitate model predictive control.
Edited by Leon Kruse