></h2><pre class="codeinput"><span class="comment">% Use a standard GP regression model:</span>
GP = tacopig.gp.Regressor;

<span class="comment">% Plug in the data</span>
GP.X = X;
GP.y = y;

<span class="comment">% Plug in the components</span>
GP.MeanFn  = tacopig.meanfn.ConstantMean(0);
GP.CovFn   = tacopig.covfn.SqExp();<span class="comment">%SqExp();</span>
GP.NoiseFn = tacopig.noisefn.Stationary();
GP.objective_function = @tacopig.objectivefn.NLML;
GP.solver_function = @anneal;

<span class="comment"