neural_prophet
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Trend Regularization: Find better way to regularize
Needed for better learning of trend deltas without gradient bleedover to older trend delta parameters. This is important if we want to achieve proper automatic trend-changepoint detection.
likely not the solution but worth considering: penalize changepoints as sum of diff to previous and next segment analogous to reg term of Hodrick–Prescott_filter
PR will be closed for V2 release, but ideas and feature request are saved and might be realized in V2.