[SciPy-dev] Presentation of pymachine, a python package for machine learning
David Cournapeau
david at ar.media.kyoto-u.ac.jp
Sun May 13 20:24:52 EDT 2007
Dear scipy developers and users,
As some of you may know already, my proposal for pymachine, a python
toolbox for machine learning in python, has been accepted for the Summer
of Code 2007. The detailed proposal is online [1], and wikified [2]. The
proposal timeline consists of two main steps:
- first improving existing tools related to machine learning in
scipy, such as they become part of "official scipy" (eg all tools in
toolbox going into main scipy namespace). This includes scipy.cluster,
scipy.sandbox.pyem and scipy.sandbox.svm.
- Then building from this set of toolboxes a more high level package,
in the spirit of similar softwares, such as orange or weka [3],
including some visualization tools for data exploration. This part of
the code would be put in scikits (because it will require extra
dependencies).
All development will happen in the scipy and scikits subversion
repositories.
Now, before starting working on it, I would like to get some feedback
about what other people think is necessary with respect to those goals:
- What are the requirements for a toolbox to go from the sandbox into
the scipy namespace ?
- For people willing to use machine learning related software in
python/scipy, what are the main requirements/concern ? (eg Data
exploration GUI, efficiency, readability of the algorithms, etc...)
cheers,
David
[1] http://www.ar.media.kyoto-u.ac.jp/members/david/fullproposal.html
[2] http://projects.scipy.org/scipy/scipy/wiki/MachineLearning
[3] orange http://magix.fri.uni-lj.si/orange/, weka:
http://www.cs.waikato.ac.nz/ml/weka/
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