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Welcome to GPy's documentation!
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===============================
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For a quick start, you can have a look at one of the tutorials:
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* `Basic Gaussian process regression <tuto_GP_regression.html>`_
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* `Interacting with models <tuto_interacting_with_models.html>`_
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* `A kernel overview <tuto_kernel_overview.html>`_
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* `Writing new kernels <tuto_creating_new_kernels.html>`_
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* `Writing new models <tuto_creating_new_models.html>`_
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`GPy <http://sheffieldml.github.io/GPy/>`_ is a Gaussian Process (GP) framework written in Python, from the Sheffield machine learning group.
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You may also be interested by some examples in the GPy/examples folder.
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The `GPy homepage <http://sheffieldml.github.io/GPy/>`_ contains tutorials for users and further information on the project, including installation instructions.
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This documentation is mostly aimed at developers interacting closely with the code-base.
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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.
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.. * `Basic Gaussian process regression <tuto_GP_regression.html>`_
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.. * `Interacting with models <tuto_interacting_with_models.html>`_
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.. * `A kernel overview <tuto_kernel_overview.html>`_
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.. * `Writing new kernels <tuto_creating_new_kernels.html>`_
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.. * `Writing new models <tuto_creating_new_models.html>`_
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.. * `Parameterization handles <tuto_parameterized.html>`_
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.. You may also be interested by some examples in the GPy/examples folder.
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The detailed Developers Documentation is listed below
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=====================================================
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@ -21,8 +28,8 @@ The detailed Developers Documentation is listed below
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Contents:
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.. toctree::
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:maxdepth: 4
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:maxdepth: 2
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GPy
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