Commit Graph

5 Commits

Author SHA1 Message Date
Bruno Domingues
f07bc8ff30 SIENTIAPDE-1241: Refactor: Remove redundant logging and fix duplicate logs
This commit removes redundant logging statements from training and experiment tracking activities, preventing duplicate log entries. It also introduces a logger helper to disable log propagation, further addressing the duplicate logs issue. Additionally, the Makefile, run_coverage.sh, setup_port_forwards.sh, and simulator/Dockerfile files were removed as they are no longer needed.
2025-10-22 22:39:26 -03:00
Bruno Domingues
758ffb10b6 SIENTIAPDE-1241: Fix: Correctly handle feature normalization and denormalization, and add scaler parameters to metadata 2025-10-22 21:26:11 -03:00
Bruno Domingues
5789a13023 SIENTIAPDE-1241: refactor train_model workflow due to I/O errors. 2025-10-22 15:37:56 -03:00
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
Bruno Domingues
bee6036205 SIENTIAPDE-1251: Implement ML model training activity and repository
This commit introduces the 'Training' activity and 'TrainingRepository' for handling ML model training operations within the Model Manager system.

- Added model_manager/activities/training.py for the Training activity, which extends BaseActivity and integrates with Temporal workflows.
- Added model_manager/utils/repository/training_repository.py for the TrainingRepository, which encapsulates the core training logic.
- Updated model_manager/activities/activities.py to include the Training activity in the main activities orchestrator.
- Updated README.md to document the new 'Training' component.
- Added unit tests for the new activity and repository.
2025-10-09 15:07:27 -03:00