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

..

__init__.py

SIENTIAPDE-1255: Add unit tests for sientia metrics module (MAE, MSE, R2)

2025-10-20 20:13:08 -03:00

test_metrics.py

SIENTIAPDE-1430: Add unit tests for Silverman radius and RCE drift metrics.

2025-12-18 18:19:35 -03:00

test_model_serving.py

SIENTIAPDE-1579: Fix SientiaMlException propagation in ModelServing.search_runs_by_name to correctly raise the exception with its message, resolving a TypeError. Enhance training test script to support scenario-specific CSV files for different test cases. Update search_runs_by_name return type hint and apply minor code formatting.

2026-02-19 21:13:41 -03:00

test_models.py

feat: enhance training and experiment tracking functionality

2026-04-06 15:05:57 -03:00

test_reports.py

feat: enhance training and experiment tracking functionality

2026-04-06 15:05:57 -03:00