This parameter allows customizing the threshold (1-1000) used when rem_static_win is enabled, defaulting to 1 if null.
Updates include parameter definition, business rule validation, repository logic for passing the threshold, documentation in README.md and PIPELINE_PARAMS_CHANGELOG.md, and new unit and integration tests.
* Documents support for Polynomial Regression, per-variable lag configuration, date range filtering, and NaN treatment options.
* Includes details on RCE drift metrics and comprehensive business validation rules for training parameters.
* Describes new JSON-based integration test scenarios with batch execution and updated 100% code coverage.
* Refines architecture overview and example workflow parameters.
This commit adds a new section to the README.md file detailing how to use the 'act' tool for local testing of GitHub Actions workflows. It includes installation instructions, configuration details, usage examples, and troubleshooting tips.
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.
This commit refactors the MLFlow activities to focus on model training rather than prediction operations. It removes prediction-related activities and metrics, and updates the MLFlow activity descriptions to reflect the change in focus. The README is also updated to reflect these changes.
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.
This commit removes the OPC server integration from the Model Manager, including related activities, repositories, metrics, and configuration. It also adds code quality tools such as Ruff (linting/formatting), mypy (type checking), and Bandit (security analysis) along with a validation script and CI/CD integration for automated code validation. The README has been updated to reflect these changes.
This commit renames the 'laborious' package to 'model_manager' across the entire project. This includes renaming directories, modules, references in code, configuration files, and documentation to reflect the new package name. This change improves clarity and consistency within the project.
This commit introduces the initial project structure, including:
- .env.example: Example environment configuration.
- .github/workflows/quality-gate.yml: CI workflow for quality checks.
- .gitignore: Specifies intentionally untracked files that Git should ignore.
- Makefile: Automation of tasks like docker builds.
- README.md: Project documentation.
- Source code for model management, activities, utils, worker and workflows.
- Test suite.
- Dockerfile for the simulator.
- sonar-project.properties: SonarQube configuration file.
- values.yaml: Helm chart values for deployment.
