README.md in rb-libsvm-1.0.8 vs README.md in rb-libsvm-1.0.9
- old
+ new
@@ -1,26 +1,33 @@
# rb-libsvm -- Ruby language bindings for LIBSVM
Spec Status: [](http://travis-ci.org/febeling/rb-libsvm)
-This package provides a Ruby bindings to the LIBSVM [1] library. SVM
+This package provides a Ruby bindings to the [LIBSVM][] library. SVM
is a machine learning and classification algorithm, and LIBSVM is a
popular free implementation of it, written by Chih-Chung Chang and
-Chih-Jen Lin, of National Taiwan University, Taipei. See "Programming
-Collective Intelligence," [2] among others, for a usage example.
+Chih-Jen Lin, of National Taiwan University, Taipei. See the book ["Programming
+Collective Intelligence,"](http://books.google.com/books?id=fEsZ3Ey-Hq4C) among others, for a usage example.
Note: There exist two other Ruby bindings for LIBSVM. One is named
-Ruby SVM, written by Rudi Cilibrasi. It is hard to find now. The
-other, more actively developed one is libsvm-ruby-swig by Tom Zeng
-[3], which is built using SWIG.
+"Ruby SVM," and is written by Rudi Cilibrasi. It is hard to find
+nowadays. The other, more actively developed one is
+[libsvm-ruby-swig][svmrubyswig] by Tom Zeng, which is built using
+SWIG.
## Dependencies
-None. Libsvm is bundled with the project. Just install and go!
+None. LIBSVM is bundled with the project. Just install and go!
-Currently includes libsvm version 3.12.
+Currently this package includes libsvm version 3.13.
+LIBSVM includes a number of command line tools for preprocessing
+training data and finding parameters. These tools are not included in
+this gem. You should install the original package if you need these.
+It is also helpful to consult the Readme of the LIBSVM package for
+reference when configuring the training parameters.
+
## Installation
gem install rb-libsvm
## Usage
@@ -46,32 +53,32 @@
pred = model.predict(Libsvm::Node.features(1, 1, 1))
puts "Example [1, 1, 1] - Predicted #{pred}"
```
-## Author, License
+## Author
-Written by C. Florian Ebeling. This software can be freely used under
-the terms of the MIT license, see file MIT-LICENSE.
+Written by C. Florian Ebeling.
-This package includes the source of LIBSVM, which is free to use under
-the license in the file LIBSVM-LICENSE.
-
## Contributors
[Rimas Silkaitis](https://github.com/neovintage)
[Aleksander Pohl](https://github.com/apohllo)
-### Posts about SVMs and Ruby
+## License
-[http://neovintage.blogspot.com/2011/11/text-classification-using-support.html](http://neovintage.blogspot.com/2011/11/text-classification-using-support.html)
+This software can be freely used under the terms of the MIT license,
+see file MIT-LICENSE.
-[http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/](http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/)
+This package includes the source of LIBSVM, which is free to use under
+the license in the file LIBSVM-LICENSE.
+### Posts about using SVMs with Ruby
+http://neovintage.blogspot.com/2011/11/text-classification-using-support.html
-[1]: [http://www.csie.ntu.edu.tw/~cjlin/libsvm/](http://www.csie.ntu.edu.tw/~cjlin/libsvm/)
+http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/
-[2]: [http://books.google.com/books?id=fEsZ3Ey-Hq4C](http://books.google.com/books?id=fEsZ3Ey-Hq4C)
+[libsvm]: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
-[3]: http://github.com/tomz/libsvm-ruby-swig/tree/master
+[svmrubyswig]: http://github.com/tomz/libsvm-ruby-swig/tree/master