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The last day was dropped when it was read earlier in the day than the first.
The smoothing needs held parameters, priors and summed components, which are not released yet.
A smoother of the log weight with a fading trend, week-scale changes, water and the scale error replaces the Gaussian kernel. It runs in linear time, so the cache goes too: the splash recomputed the curve on every start anyway.
How much a weight varies from day to day and week to week differs between people and scales. A refit in the background, from the fifth day with readings, puts each at its posterior mode under priors centred on the typical values.
The tissue slope fades towards zero, so at the last reading it shows only about three quarters of a steady loss. The cards read the curve's change over two weeks, and the forecasts average it with the trend's fading rate.
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The interpolation part of #545 on its own, without any design changes, so it can be reviewed separately. The weight curve now comes from state_space, a smoother of the log weight with a fading trend, week-scale changes, water and the scale error, instead of the Gaussian kernel. It runs in linear time and learns how much each diary scatters.
Changes
The scientific chart and its band, the dashed projection, the growing profile and sharing the summary follow in later PRs.
Closes #481
Closes #279