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sientia-dataops-model-manager
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56a21a16dad8a3a43a301d719fa86752e4b75fed
sientia-dataops-model-manager
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model_manager
/
utils
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models
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Bruno Domingues
56a21a16da
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
..
__init__.py
SIENTIAPDE-1249: Implement data models for Model Manager and add unit tests. This commit introduces data transfer objects (DTOs) and model classes for experiment status, training parameters, and training results, along with corresponding unit tests to ensure their correct behavior.
2025-10-06 16:49:18 -03:00
experiment_status.py
SIENTIAPDE-1253: Refactor training workflow and activities to raise exceptions on failure
2025-10-15 15:19:29 -03:00
train_model_params.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
train_model_result.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