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sientia-dataops-model-manager
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e191e7849f7e94a61d30e5c0eb03fa3105253202
sientia-dataops-model-manager
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tests
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Bruno Domingues
e191e7849f
SIENTIAPDE-1255: Refactor Model Manager to focus on ML model training pipeline and simplify architecture. This includes removing prediction workflows, updating core functionality, and improving parameter validation and resource management.
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README.md | 411 deletions(-) 117 insertions(+) 1 file changed, 117 insertions(+), 411 deletions(-)
2025-10-16 18:26:56 -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-1255: Refactor worker to support only the train_model-queue and remove prediction workflows.
2025-10-16 18:15:52 -03:00
workflows
SIENTIAPDE-1255: Refactor Model Manager to focus on ML model training pipeline and simplify architecture. This includes removing prediction workflows, updating core functionality, and improving parameter validation and resource management.
2025-10-16 18:26:56 -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