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authorGertjan van den Burg <gertjanvandenburg@gmail.com>2018-04-19 11:43:12 +0100
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2018-04-19 11:43:12 +0100
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gensvm-d5af47f41ad6d0435fa7b1ed1e7cdae5546c0920.zip
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@@ -8,15 +8,20 @@ P.J.F. Groenen (*Journal of Machine Learning Research*, 2016).
GitHub:
[https://github.com/GjjvdBurg/GenSVM](https://github.com/GjjvdBurg/GenSVM)
+GenSVM is also available in these languages:
+
+Language | URL
+:-------:|:-------:
+<a href="https://github.com/GjjvdBurg/PyGenSVM"><img src="https://www.python.org/static/community_logos/python-logo-master-v3-TM.png" height="75"/></a> | [https://github.com/GjjvdBurg/PyGenSVM](https://github.com/GjjvdBurg/PyGenSVM)
+<a href="https://github.com/GjjvdBurg/RGenSVM"><img src="https://www.r-project.org/Rlogo.png" height="75"/></a> | [https://github.com/GjjvdBurg/RGenSVM](https://github.com/GjjvdBurg/RGenSVM)
Introduction
------------
-This is the C library for the GenSVM method, for the Python package click
-[here](https://github.com/GjjvdBurg/PyGenSVM). GenSVM is a general multiclass
-support vector machine, which you can use for classification problems with
-multiple classes. Training GenSVM in cross-validation or grid search setups
-can be done efficiently due to the ability to use warm starts. See the
+GenSVM is a general multiclass support vector machine, which you can use for
+classification problems with multiple classes. Training GenSVM in
+cross-validation or grid search setups can be done efficiently due to the
+ability to use warm starts. See the
[paper](http://jmlr.org/papers/v17/14-526.html) for more information, and
Usage below for how to use GenSVM.