e
<tt>nlml=11.97</tt>.</p>

<p>To compute the predictions at test locations we add the test inputs
<tt>z</tt> as a final argument, and <tt>gp</tt> returns the mean
<tt>m</tt> variance <tt>s2</tt> at the test location. The program is
using algorithm 2.1 from the <a
href="http://gaussianprocess.org/gpml/">GPML book</a>. Plotting the
mean function plus/minus two standard deviations (corresponding to a
95% confidence interval):</p>

<center><img src="f2.gif" alt="f2.gif"></center><br>

<p>Typically, we would no