Models

Three ML model implementations, each configurable via a dedicated YAML file.

Available Models

Model	File	Config
LSTM	lstm_model.py	LSTM_config_NiceGUI.yaml
XGBoost	xgboost_model.py	XGBoost_config_NiceGUI.yaml
Linear Regression	linear_regression_model.py	LinearRegression_config_NiceGUI.yaml
Gompertz	gompertz_model.py	Linked to other models as a hybrid approach, no individual config needed

All models are loaded and managed by app/services/model_manager.py and accessed through a unified interface so the services layer never needs to know which framework is underneath.