Graham McIntire
d5da0cec2b
`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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65 lines
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# The directory Mix will write compiled artifacts to.
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/_build/
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# Environment variables (secrets)
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.envrc
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# If you run "mix test --cover", coverage assets end up here.
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/cover/
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# The directory Mix downloads your dependencies sources to.
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/deps/
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# Where 3rd-party dependencies like PHX://priv/static/
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# temporary files for e.g. tests
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/tmp/
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# Ignore package tarball (built via "mix hex.build").
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microwaveprop-*.tar
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# Ignore assets that are produced by build tools.
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/priv/static/assets/
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# Ignore digested assets cache.
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/priv/static/cache_manifest.json
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# In case you use Node.js/Tailwind standalone binary
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/assets/node_modules/
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# Ignore database dumps
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*.sql
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*.psql
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*.dump
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# Dotenv files
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.env
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.env.*
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# Kubernetes secret manifests (contain plaintext credentials)
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/k8s/secret.yaml
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/k8s/*-secret.yaml
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# Trained ML model weights — tracked in git for Docker builds
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# GRIB2 test fixtures (large binary files, downloaded on-demand)
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/test/fixtures/grib2/*.grib2
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# Dev-only propagation score binaries written by PropagationGridWorker
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/priv/dev_scores/
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# Calibration reports written by `mix prop.compare` — local artifacts only
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/priv/calibration/
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# Dialyzer PLT files
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/priv/plts/
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# Git worktrees
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/.worktrees/
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# OS files
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.DS_Store
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Thumbs.db
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# Python bytecode caches (scripts/ has helper Python tools)
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__pycache__/
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*.pyc
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