[mlpack-git] master: Add download link, for people who come across mlpack via Github but might be better served by a stable version. (1032645)

Thu Mar 5 22:08:18 EST 2015

Repository : https://github.com/mlpack/mlpack

On branch  : master
Link       : https://github.com/mlpack/mlpack/compare/904762495c039e345beba14c1142fd719b3bd50e...f94823c800ad6f7266995c700b1b630d5ffdcf40

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commit 10326452b89f1392712c532c549fde78c6e34eec
Author: ryan <ryan at ratml.org>
Date:   Mon Dec 29 23:32:40 2014 -0500

    Add download link, for people who come across mlpack via Github but might be better served by a stable version.


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10326452b89f1392712c532c549fde78c6e34eec
 README.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 90b87ba..a6e8606 100644
--- a/README.md
+++ b/README.md
@@ -6,6 +6,8 @@ a machine learning analog to LAPACK. It aims to implement a wide array of
 machine learning methods and functions as a "swiss army knife" for machine
 learning researchers.
 
+*Download [current stable version (1.0.11)](http://www.mlpack.org/files/mlpack-1.0.11.tar.gz)*
+
 [![Build Status](http://big.cc.gt.atl.ga.us/job/mlpack%20-%20svn%20checkin%20test/badge/icon)](http://big.cc.gt.atl.ga.us/job/mlpack%20-%20svn%20checkin%20test/)
 
 0. Contents
@@ -22,7 +24,7 @@ learning researchers.
 1. Introduction
 ---------------
 
-The mlpack website can be found at http://mlpack.org and contains numerous
+The mlpack website can be found at http://www.mlpack.org and contains numerous
 tutorials and extensive documentation.  This README serves as a guide for what
 mlpack is, how to install it, how to run it, and where to find more
 documentation. The website should be consulted for further information:
@@ -70,7 +72,7 @@ If you are compiling Armadillo by hand, ensure that LAPACK and BLAS are enabled.
 4. Building mlpack from source
 ------------------------------
 
-(see also [Building mlpack From Source](http://www.mlpack.org/doxygen.php?doc=build.html) )
+(see also [Building mlpack From Source](http://www.mlpack.org/doxygen.php?doc=build.html))
 
 mlpack uses CMake as a build system and allows several flexible build
 configuration options. One can consult any of numerous CMake tutorials for

