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

..

activities

SIENTIAPDE-1350: Simplify exception handling for file and directory deletion in cleanup activity

2025-11-27 11:00:16 -03:00

reports

SIENTIAPDE-1309: Improve .gitignore to preserve .gitkeep in model_manager reports temp directory.

2025-11-07 15:25:10 -03:00

schedules

SIENTIAPDE-1350: Integrate cleanup workflow and update default task queue names.

2025-11-26 22:11:20 -03:00

sientia

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

utils

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

worker

SIENTIAPDE-1350: Integrate cleanup workflow and update default task queue names.

2025-11-26 22:11:20 -03:00

workflows

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

__init__.py

SIENTIAPDE-1243: Refactor: Rename 'laborious' package to 'model_manager'

2025-10-01 14:29:24 -03:00

metrics.py

SIENTIAPDE-1307: Implement metrics for training activities and workflow executions, tracking success/failure status.

2025-11-03 14:41:37 -03:00