PyML: machine learning in Python

Post by mcxx » Mon, Feb 23, 2009, 12:58 AM UTC

lliiffee wrote: post #11

kaiser wrote: post #3

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 you…

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

Post by lliiffee » Mon, Feb 23, 2009, 5:21 AM UTC

mcxx wrote: post #12

lliiffee wrote: post #11

Earlier quoted context omitted.

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

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

Post by mjtokelly » Mon, Feb 23, 2009, 4:26 PM UTC

metaguri wrote: post #9

mjtokelly wrote: post #7

http://www.ailab.si/orange/ This is the most thorough Python machine learning package I know of. Includes SVM. Lots of tutorials, too, and a visual development environment (if that's your style).

Wow, sounds impressive, but that link isn't working for me unfortunately! Do you know of a mirror?

Post by toplakm » Mon, Feb 23, 2009, 5:46 PM UTC

paraschopra wrote: post #15

mjtokelly wrote: post #7

http://www.ailab.si/orange/ This is the most thorough Python machine learning package I know of. Includes SVM. Lots of tutorials, too, and a visual development environment (if that's your style).

But Orange library is not actively developed/maintained. Right?