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 ==  BayesOpt ==
 
 ----
-**This code is still in beta.** The release code will appear in http://bitbucket.org/rmcantin/bayesopt
+**This repository is a mirror.** The actual repository is http://bitbucket.org/rmcantin/bayesopt
+
+If you have cloned this repository, you can change the address in the .hg/hgrc file in your local repository.
 
 For any question, comment or to be informed about the release time, please subscribe to the [[https://groups.google.com/d/forum/bayesopt-discussion|discussion list]]
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-
-This is an efficient, C++ implementation of several Bayesian optimization
-algorithms. See References for some of the papers.
-
-It combines the use of a stochastic process as a surrogate function
-with some "active learning" criterion to find the optimum of an "arbitrary" 
-function using very few iterations. It can also be used for sequential experimental 
-design and stochastic bandits by selecting the adequate criterion.
-
-Using old C++ standards (C++98), it can be used with many compilers in Windows, 
-Linux, Mac OS. There are APIs for C/C++, Python and Matlab/Octave.
-
-**Important:** This code is free to use. However, if you are using, or plan to use, the library, //specially if it is for research or academic purposes//, please send me an [[mailto:rmcantin@unizar.es|email]]  with your name, institution and a brief description of your interest for this code (one or two lines).
-
-== INDEX: ==
-
-#[[Install]]
-#[[Usage]]
-#[[Compatibility]]
-#[[References]]
-
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-If you use BayesOpt in work that leads to a publication, we would appreciate it if you would kindly cite BayesOpt in your manuscript. Cite BayesOpt as something like:
-
-* Ruben Martinez-Cantin, **BayesOpt: a toolbox for nonlinear-optimization, experimental design and stochastic bandits, http://bitbucket.org/rmcantin/bayesopt**
-----
-   Copyright (C) 2011-2012 Ruben Martinez-Cantin <rmcantin@unizar.es>
- 
-   BayesOpt is free software: you can redistribute it and/or modify it 
-   under the terms of the GNU General Public License as published by
-   the Free Software Foundation, either version 3 of the License, or
-   (at your option) any later version.
-
-   BayesOpti is distributed in the hope that it will be useful, but 
-   WITHOUT ANY WARRANTY; without even the implied warranty of
-   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-   GNU General Public License for more details.
-
-   You should have received a copy of the GNU General Public License
-   along with BayesOpt.  If not, see <[[http://www.gnu.org/licenses/|http://www.gnu.org/licenses/]]>.
+----