kemal 41a46ae14a Take model tuning from config too, not from the saved state ...

The companion to the Kalman fix. RecursiveLeastSquares.from_dict and
AdaptiveConformal.from_dict restore lambda, delta, alpha, gamma and the
conformal window alongside their data, and load_dict replaces the
config-built heads with those, so every one of those knobs was immutable on
any station that already had state. Editing config.yaml and restarting looks
exactly like a change with no effect, which is the failure mode that cost real
time on the Kalman side of this before it was found.

Only the estimate is state now. Weights, covariances and conformal scores are
restored; tuning is re-applied from config on every load. The conformal deques
are rebuilt when the configured window changes, preserving their contents.

load_dict also skips heads for a target or horizon this build no longer has,
rather than resurrecting them from a stale file.

Found while implementing a damped-trend ensemble member, which was then
abandoned: see the following note.

2026-08-19 19:31:03 +01:00

..

test_estimation.py

Take Kalman tuning from config, not from the saved state

2026-08-19 19:22:49 +01:00

test_models.py

Take model tuning from config too, not from the saved state

2026-08-19 19:31:03 +01:00

test_physics.py

Six enhancements: recompute, markers, vendoring, tests, nerd stats, DS18B20

2026-08-15 22:39:37 +01:00

test_recompute.py

Fix flaky row-count assertion in the recompute tests

2026-08-15 23:05:05 +01:00

test_storage.py

Log both Sense HAT thermometers, and migrate schemas that predate them

2026-08-19 18:41:46 +01:00