Bruno Domingues 85a8ba1e68 SIENTIAPDE-1255: Refactor data quality gates to training focused metrics and repositories. This commit removes the data quality gates and filters, focusing on training-specific metrics and data repositories. It also updates the README to reflect these changes, including new training metrics and a streamlined data services section.

2025-10-17 00:39:06 -03:00

..

__init__.py

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

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

activities.py

SIENTIAPDE-1255: Refactor data quality gates to training focused metrics and repositories. This commit removes the data quality gates and filters, focusing on training-specific metrics and data repositories. It also updates the README to reflect these changes, including new training metrics and a streamlined data services section.

2025-10-17 00:39:06 -03:00

experiment_tracking.py

SIENTIAPDE-1250: Fix: Update pip cache key and replace pytz with datetime.UTC in experiment tracking.

2025-10-07 14:12:35 -03:00

minio.py

SIENTIAPDE-1248: Refactor MinIO activity to raise specific exception types for better error handling

2025-10-06 10:58:48 -03:00

mlflow.py

SIENTIAPDE-1253: Implement activity for cleaning up temporary run directory and integrate into train model workflow. This change introduces a new activity for idempotent cleanup of the run directory after model training, replacing the direct directory removal in the workflow. This improves determinism and error handling. Also includes unit tests for the new activity.

2025-10-15 15:49:05 -03:00

training.py

SIENTIAPDE-1253: Implement business rule validation for training parameters. Adds a validate_business_rules method to the TrainModelParams class to enforce constraints on training parameters, improving data integrity and preventing errors. Also updates tests to include target variable in variable columns and adds tests for business rule validations.

2025-10-15 16:16:09 -03:00