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#1
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I've seen some people posting helpful links around, so I thought I'd share three that I found especially useful.
DISCLAIMER: These do contain actual SVM code, though none actually contain answers specific to this course. Use at your own discretion. http://www.mblondel.org/journal/2010...nes-in-python/ http://courses.csail.mit.edu/6.867/w.../Qp-cvxopt.pdf https://github.com/burakbayramli/cla...svm/svm-en.pdf Installing cvxopt on windows can be a pain, so here's a list to an installer that someone put together. Note: I am in no way endorsing this, use at your own risk, etc. etc. http://www.lfd.uci.edu/~gohlke/pythonlibs/#cvxopt Hope it helps! |
#2
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Thanks ezreal,
But my cvxopt install did not work. I have some dll loading problem. I am using the active-state python 2.7 ( Don't have enough time to debug this ) Do you know any other alternative in python? |
#3
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Assuming you're on windows, I've also used python xy. You'd have to uninstall your current python, though.
https://code.google.com/p/pythonxy/ And cvxopt is a separate download. https://code.google.com/p/pythonxy/d...7.exe&can=2&q= Hope it works! |
#4
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Reviving this old thread.
I had a lot of trouble installing CVXOPT and implementing the SVM algorithm in Python, so I made a guide. I used the info from the various links posted here and applied them to the homework. Here's the link: http://www.galoreinoso.com/2016/04/0...ry-classifier/ |
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