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<h2>Installation</h2>
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<p>Installation instructions along side the source code can be found on the <a href="https://github.com/SheffieldML/GPy">GPy project github page</a>. The instructions vary slightly with the target OS but essentially revolve around installing from the python package index, <a href="https://pypi.python.org/pypi/GPy/">PyPI</a></p>
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<h2>Documentation</h2>
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<p>You can read the online documentation for GPy here:</p>
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<ul>
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<li><a href="https://gpy.readthedocs.org/en/latest/">Online documentation</a></li>
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</ul>
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<h2>Tutorials</h2>
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A series of tutorials on working with GPy can be found here:</p>
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<li><a href="https://lists.shef.ac.uk/sympa/subscribe/gpy-users">GPy user mailing list</a> </li>
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</ul>
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<h2>Documentation</h2>
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<p>You can read the online documentation for GPy here:</p>
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<ul>
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<li><a href="https://gpy.readthedocs.org/en/latest/">Online documentation</a></li>
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</ul>
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These documents are automatically compiled from the docstrings defined in the code: we recommend new users take a look at the<a href="http://nbviewer.ipython.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb">tutorials</a> first.
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<h2>Tests</h2>
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<p>As the code is under active development we try to ensure that the code is well tested using Continuous Integreation. We'd love to here of any bugs you have found so please do submit issues through our <a href="https://github.com/SheffieldML/GPy/issues">GPy issues page</a>. Continuous integration status is currently:<br><a href="https://travis-ci.org/SheffieldML/GPy"><img src="https://travis-ci.org/SheffieldML/GPy.png" alt="CI status"></a></br></p>
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</section>
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