[mlpack-git] master: Update links. (2f370eb)

gitdub at mlpack.org gitdub at mlpack.org
Tue Mar 15 16:04:40 EDT 2016


Repository : https://github.com/mlpack/mlpack.org
On branch  : master
Link       : https://github.com/mlpack/mlpack.org/compare/26c714ef005c520314fd0425e337710f4377342e...2f370eb67a04079a91aa2a7520ba061f19b8896a

>---------------------------------------------------------------

commit 2f370eb67a04079a91aa2a7520ba061f19b8896a
Author: Ryan Curtin <ryan at ratml.org>
Date:   Tue Mar 15 16:04:40 2016 -0400

    Update links.


>---------------------------------------------------------------

2f370eb67a04079a91aa2a7520ba061f19b8896a
 involved.html | 30 ++++++++++++++++--------------
 1 file changed, 16 insertions(+), 14 deletions(-)

diff --git a/involved.html b/involved.html
index 989860c..61074b3 100644
--- a/involved.html
+++ b/involved.html
@@ -38,20 +38,22 @@ be a machine learning expert to participate&mdash;often, there are many tasks to
 be done that don't require in-depth knowledge.</p>
 <p>A good place to start is to <a href="download.html">download</a> <font
 class="whitebold">mlpack</font>, compile it from source (<a
-href="doxygen.php?doc=build.html">tutorial</a>), and set up a development
-environment.  Once you've done this, it would probably be useful to get a feel
-for some of the algorithms <font class="whitebold">mlpack</font> implements by
-using some of the command-line programs (<a href="man.html">man pages</a>) to
-perform some machine learning tasks.</p>
-<p>Next, you can implement some <a href="doxygen.php?doc=sample.html">simple
-mlpack programs</a> and read through the <a href="tutorials.html">other
-tutorials</a>, and by the time you've finished with that you should have a
-pretty good handle on the way the library works.</p>
-<p>At this point, you're probably ready to jump in and start contributing.
-Development is done <a href="https://github.com/mlpack/mlpack">on Github</a>, so
-you'll need an account there, and you can submit patches or contributions via <a
-href="https://help.github.com/articles/using-pull-requests/">pull
-requests</a>.  Below are some useful links and tips:</p>
+href="docs/mlpack-2.0.1/doxygen.php?doc=build.html">tutorial</a>), and set up a
+development environment.  Once you've done this, it would probably be useful to
+get a feel for some of the algorithms <font class="whitebold">mlpack</font>
+implements by using some of the command-line programs (<a
+href="docs/mlpack-2.0.1/man.html">man pages</a>) to perform some machine
+learning tasks.</p> <p>Next, you can implement some <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=sample.html">simple mlpack programs</a>
+and read through the <a
+href="docs/mlpack-2.0.1/doxygen.php?doc=tutorials.html">other tutorials</a>, and
+by the time you've finished with that you should have a pretty good handle on
+the way the library works.</p> <p>At this point, you're probably ready to jump
+in and start contributing.  Development is done <a
+href="https://github.com/mlpack/mlpack">on Github</a>, so you'll need an account
+there, and you can submit patches or contributions via <a
+href="https://help.github.com/articles/using-pull-requests/">pull requests</a>.
+Below are some useful links and tips:</p>
 <ul>
 <li>You can find a bug to solve on the <a
 href="https://github.com/mlpack/mlpack/issues">issues list</a>.  Issues




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