4 Commits

Author	SHA1	Message	Date
vitor-aignosi	31e95cbdf8	feat: log regression metrics as parameters in Training class ... - Added a method to persist computed regression metrics (MSE, MAE, R²) as MLflow parameters during model training, enhancing model evaluation and tracking. - Updated the Training class to log the equation path if available, improving artifact management.	2026-04-17 10:52:32 -03:00
vitor-aignosi	6b1df7c3a7	feat: enhance training and experiment tracking functionality ... - Updated `Activities` class to improve garbage collection handling. - Enhanced error messaging in `ExperimentTracking` for better clarity on update failures. - Refactored `Training` class to streamline exception handling and improve type hints. - Introduced new methods in `TrainModelParams` for better handling of experiment run IDs and model metadata. - Added functionality to extract model equations in `DataManagerRepository` for linear regression models.	2026-04-06 15:05:57 -03:00
Bruno Domingues	38fb9a9c53	SIENTIAPDE-1430: Remove verbose options and direct print statements from model, preprocessor, and report utilities.	2025-12-18 21:09:12 -03:00
Bruno Domingues	089f312575	SIENTIAPDE-1255: Add unit tests for the reports module	2025-10-20 22:20:26 -03:00