). A Developer's Guide containing technical documentation is
found in <a href="manual.pdf"><tt>manual.pdf</tt></a>, but for the casual user,
the guide is below.</p>

<h2>Theory</h2>

<p>Gaussian Processes (GPs) can conveniently be used for Bayesian
supervised learning, such as regression and classification. In its
simplest form, GP inference can be implemented in a few lines of
code. However, in practice, things typically get a little more
complicated: you might want to use complicated covariance functions
