and mean functions, learn good values for hyperparameters, use
non-Gaussian likelihood functions (rendering exact inference
intractable), use approximate inference algorithms, or combinations of
many or all of the above. This is what the GPML software package
does.</p>

<p>Before going straight to the examples, just a brief note about the
organization of the package. There are four types of objects which you
need to know about:</p>

<dl>
<dt><strong>Gaussian Process</strong>
<dd>A Gaussian Process is fully 