Roadmap for further improvemnts
- Introducing uv for dependency handling and Docker generation
- Python Package
- Click-based Command line Interface for ease of use
- Authorization (OAuth2, Secure IoT)
- Logging and testing environments
- Experiment specific improvements, see ...
- Automatic retraining
- Webhooks (sending alarms through email)
- Git integration for extending the deployed service through repositories.
- Adding celery for faster concurrency
- Adding Mlflow registry (ExperimentHub ID - name of model in registry)
- More figures on frontend (select relevant figures)
- Postgre-dv
- Data query for pandas datasets.
ObServML package