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