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
41c4490cad
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
Kou Kinoshita
14f3fbadbe
SIENTIAPDE-1579: Switched from replace logic to validation + mapping
2026-02-18 18:57:41 -03:00
Kou Kinoshita
665870320f
SIENTIAPDE-1579: Updated tests and refactored apply filters method
2026-02-18 17:44:46 -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
70067fd992
SIENTIAPDE-1430: Improve test coverage for LinearRegressionModel and DataPreprocessor. Added extensive new tests covering various methods, edge cases, and scenarios to enhance overall code coverage.
2025-12-18 18:41:03 -03:00
Bruno Domingues
0d50a76f4c
SIENTIAPDE-1430: Add unit tests for Silverman radius and RCE drift metrics.
2025-12-18 18:19:35 -03:00
Bruno Domingues
6e8f87b2a3
SIENTIAPDE-1430: Implement advanced model training capabilities and enhanced data preprocessing. This includes support for Polynomial Regression with configurable degree and interaction terms, flexible per-variable lag configurations, and new data filtering options by date range and removed intervals. Comprehensive business validations are now enforced for all parameters, and MLflow logging has been extended to capture these detailed configurations. Additionally, Reduced Coulomb Energy (RCE) metrics are added for drift detection, with a new changelog documenting all pipeline parameter updates.
2025-12-17 21:39:43 -03:00
Bruno Domingues
5789a13023
SIENTIAPDE-1241: refactor train_model workflow due to I/O errors.
2025-10-22 15:37:56 -03:00
Bruno Domingues
3e52253a98
SIENTIAPDE-1255: Add tests to ensure get_required_columns removes columns from self_operations and cross_operations.
2025-10-20 22:27:58 -03:00
Bruno Domingues
614eb0cb7f
SIENTIAPDE-1255: Add unit tests for utils.split_train_test function
2025-10-20 22:22:38 -03:00
Bruno Domingues
089f312575
SIENTIAPDE-1255: Add unit tests for the reports module
2025-10-20 22:20:26 -03:00
Bruno Domingues
0de2ece063
SIENTIAPDE-1255: Add unit tests for sientia models (DataPreprocessor and LinearRegressionModel)
2025-10-20 20:59:55 -03:00
Bruno Domingues
3c09e59f6a
SIENTIAPDE-1255: Add unit tests for the ModelServing class.
2025-10-20 20:24:50 -03:00
Bruno Domingues
b1fe62f68b
SIENTIAPDE-1255: Add unit tests for sientia metrics module (MAE, MSE, R2)
2025-10-20 20:13:08 -03:00
