Bruno Domingues
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6e8f87b2a3
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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.
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2025-12-17 21:39:43 -03:00 |
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Bruno Domingues
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5789a13023
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SIENTIAPDE-1241: refactor train_model workflow due to I/O errors.
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2025-10-22 15:37:56 -03:00 |
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Bruno Domingues
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3e52253a98
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SIENTIAPDE-1255: Add tests to ensure get_required_columns removes columns from self_operations and cross_operations.
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2025-10-20 22:27:58 -03:00 |
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Bruno Domingues
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614eb0cb7f
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SIENTIAPDE-1255: Add unit tests for utils.split_train_test function
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2025-10-20 22:22:38 -03:00 |
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Bruno Domingues
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089f312575
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SIENTIAPDE-1255: Add unit tests for the reports module
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2025-10-20 22:20:26 -03:00 |
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Bruno Domingues
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0de2ece063
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SIENTIAPDE-1255: Add unit tests for sientia models (DataPreprocessor and LinearRegressionModel)
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2025-10-20 20:59:55 -03:00 |
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Bruno Domingues
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3c09e59f6a
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SIENTIAPDE-1255: Add unit tests for the ModelServing class.
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2025-10-20 20:24:50 -03:00 |
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Bruno Domingues
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b1fe62f68b
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SIENTIAPDE-1255: Add unit tests for sientia metrics module (MAE, MSE, R2)
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2025-10-20 20:13:08 -03:00 |
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