er of different projects in the SciPy
> ecosystem.
>
> http://scikits.appspot.com/
>
> The term is similar in scope to the MATLAB(TM) "Toolbox" term. You
> would not title a book about the MATLAB(TM) Signal Processing
> Toolbox(TM) _Learning Toolbox_.
>
> Good luck in your search.
>
> --
&
It seems like there is already a manifold learning project in progress.
These two topics are closely related.
http://www.cs.cmu.edu/~liuy/lle_isomap_metric.pdf
--
Precog is a next-generation analytics platform capable of a
Does anyone have any code for computing rotations of components after
> PCA or FactorAnalysis, etc. E.g., varimax?
>
> Thanks,
>
> Skipper
>
>
>
> ------
>
> Message: 2
> Date: Sun, 21 Apr 2013 18:43:44 -0700
> From: Robert McGibbon
> Subject: Re: [Scikit-learn-general] Metric Le
John,
I just meant that if the scikit's maintainers didn't think it was within the
scope of the project, I'd still be interested in assembling and contributing to
a collection of metric learning algorithms in the scikit's style.
-Robert
On Apr 21, 2013, at 6:25 PM, John Collins wrote:
> Hi Ro
Hi Robert, Ken,
Robert,
I'm not convinced we would need a separate interface. Perhaps I'm wrong
because I've not really been exposed to all of the metric learning
techniques, but in all the ones I've seen the goal is to learn a matrix A.
Calling say .fit(X, y) could create A. Perhaps
the response
