[huge merge] trying to merge old master and master

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Max Zwiessele 2014-11-21 16:17:03 +00:00
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Welcome to GPy's documentation!
===============================
For a quick start, you can have a look at one of the tutorials:
* `Basic Gaussian process regression <tuto_GP_regression.html>`_
* `Interacting with models <tuto_interacting_with_models.html>`_
* `A kernel overview <tuto_kernel_overview.html>`_
* `Writing new kernels <tuto_creating_new_kernels.html>`_
* `Writing new models <tuto_creating_new_models.html>`_
`GPy <http://sheffieldml.github.io/GPy/>`_ is a Gaussian Process (GP) framework written in Python, from the Sheffield machine learning group.
You may also be interested by some examples in the GPy/examples folder.
The `GPy homepage <http://sheffieldml.github.io/GPy/>`_ contains tutorials for users and further information on the project, including installation instructions.
This documentation is mostly aimed at developers interacting closely with the code-base.
The code can be found on our `Github project page <https://github.com/SheffieldML/GPy>`_. It is open source and provided under the BSD license.
.. * `Basic Gaussian process regression <tuto_GP_regression.html>`_
.. * `Interacting with models <tuto_interacting_with_models.html>`_
.. * `A kernel overview <tuto_kernel_overview.html>`_
.. * `Writing new kernels <tuto_creating_new_kernels.html>`_
.. * `Writing new models <tuto_creating_new_models.html>`_
.. * `Parameterization handles <tuto_parameterized.html>`_
.. You may also be interested by some examples in the GPy/examples folder.
The detailed Developers Documentation is listed below
=====================================================
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Contents:
.. toctree::
:maxdepth: 4
:maxdepth: 2
GPy