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