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sientia-dataops-model-manager
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305a39b44c40260424fd2bf6c388426d7f79b868
sientia-dataops-model-manager
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tests
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Bruno Domingues
305a39b44c
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
..
activities
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
utils
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
worker
SIENTIAPDE-1250: Refactor: Remove 'laborious' directory from test structure and update README.md accordingly.
2025-10-07 10:02:38 -03:00
workflows
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
__init__.py
SIENTIAPDE-1243: Initial commit of the model manager project, adding core files and configurations.
2025-09-30 14:55:38 -03:00