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
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microwaveprop	Two-phase training: pretrain on algorithm scores, fine-tune on QSOs	2026-04-01 09:27:27 -05:00
microwaveprop_web	Default forecast timeline selection to closest hour to now	2026-03-31 17:45:54 -05:00
mix/tasks	Two-phase training: pretrain on algorithm scores, fine-tune on QSOs	2026-04-01 09:27:27 -05:00
microwaveprop.ex	initial	2026-03-28 11:28:47 -05:00
microwaveprop_web.ex	initial	2026-03-28 11:28:47 -05:00