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0dbe179367b98dc8ac2181746410d0d3033177cb
sientia-dataops-model-manager/tests
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Bruno Domingues 9e31ab679b SIENTIAPDE-1255: Implement MLFlow artifact management and model persistence
This commit introduces a new model_repository.py to handle MLFlow artifact generation and model persistence. It also updates the README to reflect this change and modifies training_repository.py to separate training and MLFlow operations.
2025-10-17 09:11:54 -03:00
..
activities
SIENTIAPDE-1255: Refactor MLFlow activities for training operations and update metrics
2025-10-17 00:51:29 -03:00
utils
SIENTIAPDE-1255: Implement MLFlow artifact management and model persistence
2025-10-17 09:11:54 -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
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