Graham McIntire 07558d17eb Two-phase training: pretrain on algorithm scores, fine-tune on QSOs ... - 15 features: add surface_refractivity and latitude - Bigger network: 128→64→32 (3 hidden layers) - Phase 1: pretrain on 500K stratified algorithm scores (all seasons/locations) - Phase 2: fine-tune on 57K real QSO-HRRR matched data (percentile target) - Lower LR (0.0003) for fine-tuning to preserve pretrained knowledge - Model.train accepts :initial_state option for transfer learning		2026-04-01 09:27:27 -05:00
..
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	Two-phase training: pretrain on algorithm scores, fine-tune on QSOs	2026-04-01 09:27:27 -05:00
reset_enrichment.ex	Multi-point path enrichment for HRRR, IEMRE, and weather data	2026-03-30 16:09:01 -05:00