[SciPy-user] Where is the border between SciPy and ML algorithms?
Thu Nov 8 02:26:59 CST 2007
As there are SWIG files and as Scipy does not depend ATM on SWIG, you could
create a scikit with or see with David Cournapeau how it could fit in its
machine learning scikit.
2007/11/8, Willi Richert <email@example.com>:
> the scipy.cluster module up to now contains already algorithms for Vector
> Quantization and Kmeans. In the docs it's said that SOMs are following.
> after having followed the mails mentioning Orange and Elefant: Where do we
> draw the line?
> I'm asking, because a student of mine has implemented SWIG-Python-wrappers
> the C++ implementations of diverse decision trees (continuous VFDT, C4.5and
> some others), which work quite well. We would of course be glad if those
> would be included in standard SciPy. However, I'm not quite sure, what the
> current policy of the core SciPy developers is regarding non-core
> Thanks in advance for any light on this topic,
> SciPy-user mailing list
French PhD student
Website : http://miles.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
LinkedIn : http://www.linkedin.com/in/matthieubrucher
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