[SciPy-dev] SciPy improvements
Fri Apr 13 01:08:14 CDT 2007
Robert Kern wrote:
> Bill Baxter wrote:
>> The project page mentions SVM. In addition to SVM I'm interested in
>> things like PPCA, kernel PCA, RBF networks, gaussian processes and
>> GPLVM. Are you going to try to go in the direction of a modular
>> structure with reusable bits for for all kernel methods, or is the
>> plan to targeted specifically SVM?
> On that note, I have some Gaussian process code in a Mercurial repository here
> (click the "manifest" button to browse the source):
> It's based on the treatment by Rasmussen and Williams:
> The covariance functions I implement there might be useful in other methods, too.
Thanks for those links, I will take a look at the code you wrote.
Since you're here, I have some questions concerning chaco for the
visualization part of the project. Basically, I am unsure about whether
I should use chaco or matplotlitb. I do not know chaco very well yet,
but it seems much better API and performance wise compared to matplotlib
for interactive visualization. The problem is that it still does not
have a lot of visibility to the community compared to matplotlib, and it
is still pretty complicated to install. I do not care much about those
points myself, but seeing how installation problems are one of the big
difficulty for newcommers to numpy/scipy, I am a bit concerned. Is this
impression funded, and if it is, is there a chance to see improvements
on those fronts in the next few months ?
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