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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 htt

by kaiser 18y ago

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/ 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/ 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).

tectonic 18y ago
Weka can be used with JRuby, or Jython (I assume).
lliiffee 18y ago
Hey, what do FDA and DWT stand for? (Sorry, that link doesn't work for me.) Thanks!
- mcxx 18y ago
  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 http://google.com
  - lliiffee 18y ago
    I did search for DWT. I don't understand how wavelets would be used in this context, so I was hoping for some verification.