PyML: machine learning in Python

Re:PyML: machine learning in Python by kaiser on Sunday February 22, 2009 @04:52PM (#490891)

I am currently playing around with it. Decent support vector machine implementation. However, I have some problems with it. It is by far not as hugh as weka http://www.cs.waikato.ac.nz/ml/weka/ It is in python (big plus) and seems to be easily hacked for online classification. I like https://mlpy.fbk.eu/ a bit better, as it has also a decent integrated Nearest Neighbor (ok, ok this one is not hard to implement on your own) and FDA + DWT (awsome).

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Re:PyML: machine learning in Python by lliiffee on Sunday February 22, 2009 @07:36PM (#491071)

Hey, what do FDA and DWT stand for? (Sorry, that link doesn't work for me.) Thanks!

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Re:PyML: machine learning in Python by mcxx on Sunday February 22, 2009 @07:58PM (#491096)

Google, being a good friend of mine, didn't mind me asking. His answer: Fisher Discriminant Analysis (FDA), Discrete Wavelet Transform (DWT). I'll introduce you: http://google.com

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Re:PyML: machine learning in Python by lliiffee on Monday February 23, 2009 @12:21AM (#491305)

I did search for DWT. I don't understand how wavelets would be used in this context, so I was hoping for some verification.

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Re:PyML: machine learning in Python by tectonic on Sunday February 22, 2009 @05:59PM (#490973)

Weka can be used with JRuby, or Jython (I assume).

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