3 Commits

Author	SHA1	Message	Date
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	7a0961f29d	SIENTIAPDE-1717: Remove MinIO cleanup functionality and associated components. This change streamlines the cleanup workflow to focus solely on local temporary directories, removes the ModelTrainingError exception, and updates related configurations, documentation, and tests.	2026-03-30 14:14:10 -03:00
Bruno Domingues	53f49d7a97	SIENTIAPDE-1350: Implement file cleanup workflow and activities, including MinIO and local directory cleanup, configuration, and metrics.	2025-11-19 18:38:00 -03:00