Yeh, I'm not so interested in having a PyNetlab per se, i.e. api-for-api equivalent, as much as having similar functionality. But I reckon copying the design and organization of something that already exists would be faster than doing it completely from scratch. The bits I use are GMM, Gaussian Processes, RBF networks, (P)PCA. But I guess that's probably the bulk of the code right there. Anyway, I can dream, can't I? :-) --bb On 4/21/06, David Cournapeau <david@ar.media.kyoto-u.ac.jp> wrote:
Bill Baxter wrote:
By the way, I'd be interested in an n-dimension Gaussian function for NumPy/SciPy too.
Anyone else interested in machine learning and or bayesian methods? A port of Netlab ( http://www.ncrg.aston.ac.uk/netlab/index.php) in SciPy would be great. Actually, I am porting a code for Gaussian Mixture Models with batch and online EM. I first try to do a pure python version to get an idea on scipy capabilities, and then I intend to create the stub to a C implementation (which already exists for matlab, the core being independant of matlab). I am hoping to have a much cleaner implementation, and more extensible (ie using other pdf, and why not more general models) using python languages capabilities (module, inheritance, etc...).
I think porting netlab would be a huge task, and quite difficult; there is also torch (http://www.torch.ch/) which may be interesting to use (C++ code, BSD license). Having a machine learning tool box would be a step forward for scipy, I guess.
David
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