Graham McIntire 02cb4fd67b Integrate ML model into grid worker, QSO search, and UI improvements ... ML Integration: - Load trained model at app startup, cache compiled predict fn in persistent_term - Grid worker uses batched ML prediction (10K chunks) when model loaded, falls back to algorithm scorer when not - ML score replaces composite, algorithm factor scores preserved for detail view - Fix process explosion: single EXLA call per chunk instead of per-grid-point QSO Features: - Callsign search (ILIKE on station1/station2) with trigram indexes - Reciprocal QSO grouping (same pair, same band, same hour) - Wider layout (max-w-7xl) for data table pages - QSO Training Data link on map page Infrastructure: - Re-enable hourly propagation grid worker in dev - Track ML model weights in git for Docker builds - Add btree indexes on qsos (timestamp, band, distance_km) - Remove nav icons from layout header		2026-04-01 10:14:22 -05:00
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band_config_test.exs	Use local solar time for time-of-day scoring, add PWAT factor and pressure refinements	2026-04-01 08:58:21 -05:00
grid_score_test.exs	Add CONUS grid definition and propagation score schema	2026-03-30 16:50:06 -05:00
grid_test.exs	Increase grid to 0.125 degrees with smooth canvas overlay	2026-03-31 08:52:07 -05:00
model_test.exs	Integrate ML model into grid worker, QSO search, and UI improvements	2026-04-01 10:14:22 -05:00
scorer_test.exs	Use local solar time for time-of-day scoring, add PWAT factor and pressure refinements	2026-04-01 08:58:21 -05:00