I don't have any DTW code written, but I could definitely prototype how a
lower bound callable might get incorporated into sklearn
On Mon, Dec 7, 2015 at 5:28 PM, Stéfan van der Walt <stef...@berkeley.edu>
wrote:
> On Mon, Dec 7, 2015 at 6:04 AM, Gael Varoquaux
> <gael.varoqu...@normalesup.org> wrote:
> >> hello pandora's box ;)
> >> I thought we don't want to have time-series specific code?
> >
> > I agree. We should strive to make something like this pluggeable into
> > scikit-learn, but not have in inside.
>
> If you are seeking a home for DTW code, we would be very happy to
> include it in scikit-image. It has been on our TODO list for a long
> time, specifically the ability to match sequences with loose start and
> end-points.
>
> There is a good package for R, which gives an outline of the different
> features one might want to support:
>
> http://dtw.r-forge.r-project.org/
>
> We're also looking at the following paper:
>
> http://paper.ijcsns.org/07_book/201001/20100135.pdf
>
> Stéfan
>
>
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