Hi Diego. Not sure if it'll be useful but I coded up a DTW classifier with
the same sklearn style fit/predict methods here
<https://github.com/markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping/blob/master/knn_dtw_class.py>
.
Mark
On Tue Jan 20 2015 at 4:26:40 AM Andy <t3k...@gmail.com> wrote:
> Hi Diego.
> I think the conclusion of that discussion still holds.
> We don't do any time-series specific stuff in scikit-learn.
> I think it would be good to ask over at pandas what they think about it.
>
> Otherwise, just publish your code on github, I'm sure people will find it
> useful.
> We'd be happy to link to it on the related project page.
>
> Cheers,
> Andy
>
>
>
>
> On 01/20/2015 07:36 PM, Diego Ardila wrote:
>
> There was a thread a while ago regarding this.
>
>
> http://sourceforge.net/p/scikit-learn/mailman/scikit-learn-general/thread/d04b0e2e49ab5e40b298765dbbbc8f5e10937...@mailsvr001.fleet.dns/
>
> Which gave some suggestions on where it would fit in. The result of that
> discussion seemed to be that Gael Varoquax suggested it wasn't in the scope
> of sklearn at the time (2 years and change ago) because sklearn doesn't
> have much support for time series.
>
> I would like to implement it and contribute the code, but wanted to
> check here first, as suggested on the github.
>
>
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