Documenting the core GP class

doc/index.rst

@@ -5,23 +5,28 @@
 
 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>`_
-* `Parameterization handles <tuto_parameterized.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.
 
 Contents:
 
 .. toctree::
    :maxdepth: 2
    
-   installation
    GPy