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Removed more sourceforge references.

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This commit is contained in:
Davis King 2015-07-18 10:52:21 -04:00
parent 98a6553b02
commit 1b76017c53
2 changed files with 7 additions and 20 deletions
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8
docs/docs/bayes.xml
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@ -18,10 +18,10 @@
</p>
<p>
The
library also comes with a graphical application to assist in the
creation of bayesian networks. This application is one of the example
programs, so to use it you have to compile it yourself or download
one of the binaries from the sourceforge download page.
library also comes with a graphical application to assist in the
creation of bayesian networks. This application is one of the
<a href="bayes_net_gui_ex.cpp.html">example programs</a>, so to use it
you have to compile it yourself.
</p>
</body>

19
docs/docs/howto_contribute.xml
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@ -29,26 +29,13 @@
<!-- **************************** CODE CONTRIBUTIONS **************************** -->
<h2>Contributing Code</h2>
Code contributions are also welcome. I use <a href="http://mercurial.selenic.com/">Mercurial</a>
for version control. So the simplest
way to contribute code is to clone from the dlib repository, make your changes, and then email
them to me as a bundle file. An example is shown below.
<code_box>
hg clone http://hg.code.sf.net/p/dclib/code dclib-code
cd dclib-code
[make changes to dlib source code]
hg commit -u "Your Name &lt;your.email@host.com&gt;"
hg bundle dlibchanges.hg
</code_box>
Then <a href="mailto:davis@dlib.net">email me</a> the dlibchanges.hg file and I'll review it and get back to you.
Alternatively, you can submit a pull request to my clone of <a href="https://github.com/davisking/dlib">dlib on github</a>.
Code contributions are welcome and can be done by submitting a pull request
to <a href="https://github.com/davisking/dlib">dlib's github page</a>.
<p> If you want to make a big change or feature addition, it's probably a good idea to talk to me about it first.
Additionally, you should read over the coding guidelines below
and try to follow them. It is also probably a good idea to read the books Effective C++ and
More Effective C++ by Scott Myers. Finally, if you are not familiar with Mercurial you also
might want to read the excellent <a href="http://hginit.com">introduction</a> by Joel Spolsky.
More Effective C++ by Scott Myers.
</p>