You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Jun 2, 2023. It is now read-only.
I'd be interested in trying soft-DTW (dynamic time warping) as a loss function. I don't know a whole lot about DTW, but from what I understand, it compares two time series more based on their shape and not as much on a point-by-point basis (as something like RMSE does).
One question I have: how it would handle missing labels? I guess we'd need to dig into the equations... (https://arxiv.org/abs/1703.01541)
Also, that I'm writing this, I'm not sure that we'd even want to be comparing "shapes" over individual points. We could always make it a part of the loss function if we aren't wanting to totally abandon the point comparisons.