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sientia-dataops-model-manager
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44dca9b66bf8643c49bd1d525a5534d43125acb9
sientia-dataops-model-manager
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model_manager
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sientia
History
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
..
__init__.py
SIENTIAPDE-1255: Integrate sientia-mlops-library into model-manager, adding model serving, reporting, and updated model definitions.
2025-10-20 16:55:52 -03:00
exceptions.py
SIENTIAPDE-1255: Integrate sientia-mlops-library into model-manager, adding model serving, reporting, and updated model definitions.
2025-10-20 16:55:52 -03:00
metrics.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
model_serving.py
SIENTIAPDE-1241: Refactor: Improve documentation, exception handling, and configuration in model manager. This commit enhances clarity and robustness by adding detailed docstrings to methods, standardizing exception handling with custom types, and simplifying MLflow configuration.
2025-10-22 21:48:12 -03:00
models.py
SIENTIAPDE-1430: Remove verbose options and direct print statements from model, preprocessor, and report utilities.
2025-12-18 21:09:12 -03:00
reports.py
SIENTIAPDE-1430: Remove verbose options and direct print statements from model, preprocessor, and report utilities.
2025-12-18 21:09:12 -03:00
utils.py
SIENTIAPDE-1255: Improve documentation for split_train_test function in utils.py
2025-10-20 17:41:05 -03:00