Add Microwaveprop.Backtest: a feature-evaluation framework that runs a (lat, lon, valid_time) -> float function over the historical QSO corpus and a matched random-time baseline, reporting distribution statistics, distance-binned lift, and band-stratified lift. Adds four baseline feature wrappers around the current scorer inputs (naive_gradient, td_depression, time_of_day, pressure), a mix backtest CLI, and the first set of baseline reports under priv/backtest_reports so downstream phases have a frozen reference point to compare against. |
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| backtest_reports | ||
| gettext | ||
| models | ||
| repo | ||
| static | ||