MLOps pipeline using Docker Compose
| jupyter | ||
| .gitignore | ||
| docker-compose.yaml | ||
| Makefile | ||
| README.md | ||
| ROADMAP.md | ||
Right now this is just a scratchpad. I'm converting my messy ML lab environment to something with better MLOps standards
Broadly, the goals are:
- Local dev environment that's as similar as possible to production
- A managed Jupyter Lab environment for experimentation
- Do something sensible with features and feature extraction
- A good mockup of an operationalized model
- CI/CD pipeline with local access to test/verification