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

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test_model_repository.py

SIENTIAPDE-1350: Configure cleanup test script and improve test isolation. This commit configures the cleanup test script to load environment variables from a .env file and use them for Temporal connection. It also adds a fixture to clean up temporary directories created by tests, ensuring better test isolation and preventing potential conflicts. Additionally, it adds the 'uri' property to the MongoDB config.

2025-11-25 00:44:55 -03:00

test_storage_repository.py

SIENTIAPDE-1350: Add tests for close method and paginated list_bucket_objects

2025-11-25 16:04:59 -03:00

test_training_repository.py

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