Graham McIntire
daafa5a02a
Replace the two-script Python pipeline (analysis report + Elixir-source emitter) with a single `scripts/recalibrate.py` that fits per-band weights from PSKR spot density (VHF/UHF) and contacts↔HRRR correlations (microwave), writing `priv/algo/band_weights.json` as a machine-readable artifact. A new Elixir BandWeights module loads this JSON once via `:persistent_term` cache; BandConfig.weights/1 consults it before falling back to in-source overrides or global defaults. The script never touches Elixir source — recalibration is now `python3 scripts/recalibrate.py` followed by an app restart. |
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| .. | ||
| algo-reports | ||
| api | ||
| plans | ||
| research | ||
| algo_commercial.md | ||
| algo_original.md | ||
| algo_updated_with_data.md | ||
| analysis_output.txt | ||
| analysis_output_solar.txt | ||
| goes-r-research.md | ||
| RRFS.md | ||
| runbook_propagation_pipeline.md | ||
| weather.md | ||