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A Generalized Multiclass Support Vector Machine available in Python, R, and C

Home Page: http://jmlr.org/papers/v17/14-526.html

License: GNU General Public License v3.0

Makefile 0.46% C 94.52% Python 0.03% MATLAB 4.80% M 0.10% Shell 0.10%
support-vector-machines classification machine-learning c multiclass-classification

gensvm's Introduction

Hi there! ๐Ÿ‘‹

  • ๐Ÿ’ก My name is Gertjan van den Burg1

  • ๐ŸŒฑ I'm a Machine Learning researcher based in London, UK.

  • ๐Ÿ“š My research spans generative models, time series analysis, automated data wrangling, supervised learning and more!

  • ๐ŸŒŠ I'm passionate about making my research accessible (1, 2, 3, 4) and reproducible (1, 2, 3, 4).

  • ๐ŸŽจ In my spare time I enjoy writing open-source software and usually code in Python.

  • ๐Ÿ“ซ You can find me:

1 "Gertjan" is not so easy to pronounce unless you know Dutch, so I also respond to Gerrit, which is pronounced like this.

gensvm's People

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gensvm's Issues

more detailed parameters

lambda
kappa
epsilon

if n = 14000+ objects with K = 6 classes and m = 10000+ attributes

How should these parameters be adjusted?

I'm using HOG Feature and m is very large and I am training for a long time.

thank you.

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