README.md in rb-libsvm-1.0.11 vs README.md in rb-libsvm-1.1.0

- old
+ new

@@ -1,7 +1,8 @@ # rb-libsvm -- Ruby language bindings for LIBSVM +[![Gem Version](https://badge.fury.io/rb/rb-libsvm.png)](http://badge.fury.io/rb/rb-libsvm) [![Build Status](https://secure.travis-ci.org/febeling/rb-libsvm.png)](http://travis-ci.org/febeling/rb-libsvm) 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 @@ -15,14 +16,14 @@ 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 them. -It is helpful to consult the Readme of the LIBSVM package for +It is helpful to consult the [README][] of the LIBSVM package for reference when configuring the training parameters. -Currently this package includes libsvm version 3.13. +Currently this package includes libsvm version 3.14. ## Dependencies None. LIBSVM is bundled with the project. Just install and go! @@ -81,12 +82,12 @@ Written by C. Florian Ebeling. ## Contributors [Rimas Silkaitis](https://github.com/neovintage) - [Aleksander Pohl](https://github.com/apohllo) +[Andreas Eger](https://github.com/sch1zo) ## License This software can be freely used under the terms of the MIT license, see file MIT-LICENSE. @@ -103,5 +104,7 @@ [libsvm]: http://www.csie.ntu.edu.tw/~cjlin/libsvm/ [svmrubyswig]: http://github.com/tomz/libsvm-ruby-swig/tree/master [ruby-svm]: http://sourceforge.net/projects/rubysvm/ + +[README]: https://github.com/febeling/libsvm/blob/master/README