Leon,
Thanks for your email.
I can not install Rpy2 so I will go for mlpy.
Thanks for your email and link.
Didier
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close |
Fleet | Hampshire | GU51 2QQ | Fax: 0871 574 2992 | Email:
[email protected] <mailto:[email protected]>
From: Leon Palafox [mailto:[email protected]]
Sent: 29 October 2012 16:22
To: [email protected]
Subject: Re: [Scikit-learn-general] Dynamic Time Warping measure (DTW)
Didier
Try using the DTW library in R with a wrapper to python, that seems to
work ok.
http://stackoverflow.com/questions/5695388/dynamic-time-warping-in-pytho
n
On Mon, Oct 29, 2012 at 7:09 AM, Didier Vila <[email protected]>
wrote:
Olivier,
Thanks
Didier
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close |
Fleet | Hampshire | GU51 2QQ | Fax: 0871 574 2992 | Email:
[email protected]
-----Original Message-----
From: Olivier Grisel [mailto:[email protected]]
Sent: 29 October 2012 14:08
To: [email protected]
Subject: Re: [Scikit-learn-general] Dynamic Time Warping measure (DTW)
2012/10/29 Didier Vila <[email protected]>:
> Good Afternoon all,
>
> Does Scikit learn have the dynamic time warping measure embedded in
the
> framework ?
No.
> If yes, can I use it with clustering/ svm tools ?
>
> If not, do you have any other alternatives / suggestions ?
According to the wikipedia article:
http://en.wikipedia.org/wiki/Dynamic_time_warping , mlpy has an
implementation.
It should not be too complicated to contribute a cython implementation
scikit-learn for the pairwise module:
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/metrics
/pairwise.py
--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel
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--
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory
+81-3-5841-8436
University of Tokyo
Tokyo, Japan.
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any such matters or their consequences. Anyone who communicates with us by
e-mail is taken to accept the risks in doing so. Opinions, conclusions and
other information in this e-mail and any attachments are solely those of the
author and do not represent those of CapQuest Group Limited or any of its
subsidiaries unless otherwise stated. CapQuest Group Limited (registered number
4936030), CapQuest Debt Recovery Limited (registered number 3772278), CapQuest
Investments Limited (registered number 5245825), CapQuest Asset Management
Limited (registered number 5245829) and CapQuest Mortgage Servicing Limited
(registered number 05821008) are all limited companies registered in England
and Wales with their registered offices at Fleet 27, Rye Close, Fleet,
Hampshire, GU51 2QQ. Each company is a separate and independent legal entity.
None of the companies have any liability for each other's acts or omissions.
This communication is from the company named in the sender's details above.
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