2 Commits (bc5b12f1efbbf72400eb28ef5dfd3499dcf866e2)

Author	SHA1	Message	Date
zjs81	b336aedbc5	fix: address PR #296 code review feedback ... - Clamp ML predictions between physics floor (raw airtime) and ceiling (worst-case formula) so model can never produce unsafe timeouts - Replace hourOfDay feature with secondsSinceLastRx for network activity - Remove unused _ContactStats.stdDev and dead model persistence code - Debounce observation writes (2s) instead of writing on every delivery - Skip recording observations when pathLength is null to avoid corrupting training data - Add comment explaining global (not per-contact) RX time tracking - Remove notifyListeners from retrain to avoid unnecessary widget rebuilds - Run dart format	4 months ago
zjs81	2ee2358ecc	feat: add ML-based adaptive timeout prediction using LinearRegressor ... Train a linear regression model on actual message delivery times to predict tighter timeouts, replacing worst-case physics estimates. Features: path length, message bytes, seconds since last RX, flood mode. Global model with per-contact blending after 10+ observations per contact. Falls back to existing physics formula when model has insufficient data.	4 months ago