Graham McIntire 10cbbf47b3 Train ML model on real QSO-HRRR data instead of algorithm scores ... Features: HRRR conditions averaged at both QSO endpoints + solar time Target: distance_km normalized per-band (distance / p99_range, capped at 1.0) This trains on actual propagation outcomes from 57K+ QSOs, not the hand-tuned algorithm output.		2026-04-01 09:13:05 -05:00
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propagation_analyze.ex	Update analysis with solar time, refine algo.md time-of-day section	2026-04-01 09:02:57 -05:00
propagation_grid.ex	HRRR forecast hours (f00-f18) with timeline map UI	2026-03-31 16:44:47 -05:00
propagation_train.ex	Train ML model on real QSO-HRRR data instead of algorithm scores	2026-04-01 09:13:05 -05:00
reset_enrichment.ex	Multi-point path enrichment for HRRR, IEMRE, and weather data	2026-03-30 16:09:01 -05:00