Commit Graph

5 Commits

Author SHA1 Message Date
vitor-aignosi
ba9eb3d7c7 feat: require date_column in training parameters and update documentation
- Made `date_column` a required field in `TrainModelParams`, ensuring it must be present in the input data.
- Updated related documentation in `input-sample.md`, `README.md`, and various test scenarios to reflect the change in requirement.
- Adjusted the handling of `date_format` to default to `yyyy-MM-dd HH:mm:ss` if omitted, enhancing usability.
- Refined test scenarios to include new examples and ensure compliance with the updated parameter structure.

These changes improve the robustness of the model training workflow and clarify the expectations for input data.
2026-05-05 08:35:12 -03:00
vitor-aignosi
c0bef2d688 feat: update values.yaml and refactor cleanup paths
- Changed project name in values.yaml from "sientia-dataops-model-manager" to "sientia-model-manager".
- Added new environment variables for GitHub repository and branch configuration.
- Refactored cleanup paths to use a centralized REPORTS_TEMP_DIR constant for consistency.
- Updated runtime configurations and adjusted volume mounts for better resource management.
- Enabled SSH access for the model manager and disabled Grafana dashboard creation.
- Updated tests to reflect changes in directory paths and environment variable usage.
2026-04-09 16:37:36 -03:00
vitor-aignosi
6b1df7c3a7 feat: enhance training and experiment tracking functionality
- Updated `Activities` class to improve garbage collection handling.
- Enhanced error messaging in `ExperimentTracking` for better clarity on update failures.
- Refactored `Training` class to streamline exception handling and improve type hints.
- Introduced new methods in `TrainModelParams` for better handling of experiment run IDs and model metadata.
- Added functionality to extract model equations in `DataManagerRepository` for linear regression models.
2026-04-06 15:05:57 -03:00
Bruno Domingues
7a0961f29d SIENTIAPDE-1717: Remove MinIO cleanup functionality and associated components. This change streamlines the cleanup workflow to focus solely on local temporary directories, removes the ModelTrainingError exception, and updates related configurations, documentation, and tests. 2026-03-30 14:14:10 -03:00
Bruno Domingues
53f49d7a97 SIENTIAPDE-1350: Implement file cleanup workflow and activities, including MinIO and local directory cleanup, configuration, and metrics. 2025-11-19 18:38:00 -03:00