No description
`mix prop.compare` runs both scorers against a recent contact sample
and measures both against achieved contact distance. Each run appends
to priv/calibration/history.jsonl, so trends in alg-ML divergence and
algorithm-distance correlation surface over weeks of running.
When drift exceeds threshold (alg-ML RMSE > 8 score points, or current
correlation > 0.10 below the history median), the task writes a
recommendation pointing at the right remediation:
mix recalibrate_scorer # algorithm drift → refit weights
mix propagation_train # ML drift → retrain on the new algorithm
That is the feedback loop: measure → recommend → recalibrate/retrain →
loop. Operational rather than automatic, so a bad data window can't
silently corrupt the model.
Pure analysis lives in Microwaveprop.Propagation.Calibration with its
own unit tests; the Mix task only handles data loading, file I/O, and
console formatting.
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| .forgejo/workflows | ||
| .github | ||
| assets | ||
| bin | ||
| config | ||
| docs | ||
| k8s | ||
| lib | ||
| lib_ml | ||
| notebooks | ||
| priv | ||
| rel | ||
| rust/prop_grid_rs | ||
| scripts | ||
| test | ||
| vendor | ||
| .credo.exs | ||
| .dockerignore | ||
| .formatter.exs | ||
| .gitignore | ||
| .tool-versions | ||
| AGENTS.md | ||
| algo.md | ||
| app.json | ||
| bugs.md | ||
| CLAUDE.md | ||
| Dockerfile | ||
| elevation.md | ||
| LICENSE | ||
| mix.exs | ||
| mix.lock | ||
| prediction.md | ||
| README.md | ||
| tail_logs.sh | ||
| updates.md | ||
Microwaveprop
To start your Phoenix server:
- Run
mix setupto install and setup dependencies - Start Phoenix endpoint with
mix phx.serveror inside IEx withiex -S mix phx.server
Now you can visit localhost:4000 from your browser.
Ready to run in production? Please check our deployment guides.
Learn more
- Official website: https://www.phoenixframework.org/
- Guides: https://hexdocs.pm/phoenix/overview.html
- Docs: https://hexdocs.pm/phoenix
- Forum: https://elixirforum.com/c/phoenix-forum
- Source: https://github.com/phoenixframework/phoenix