prtRegresGP  Gaussian Process regression object
 
    REGRESS = prtRegressGP returns a prtRegressGP object
 
     REGRESS = prtRegressGP(PROPERTY1, VALUE1, ...) constructs a
     prtRegressGP object REGRESS with properties as specified by
     PROPERTY/VALUE pairs.
  
     A prtRegressGP object inherits all properties from the prtRegress
     class. In addition, it has the following properties:
 
    covarianceFunction = @(x1,x2)prtUtillQuadExpCovariance(x1,x2, 1, 4, 0, 0);
    noiseVariance = 0.01;
    CN ?
    weights?
 
    Need reference 
  
    A prtRegressionGP object inherits the PLOT method from the
    prtRegress object, and the TRAIN, RUN, CROSSVALIDATE and KFOLDS
    methods from the prtAction object.
 
    Example:
    
    dataSet = prtDataGenNoisySinc;           % Load a prtDataRegress
    dataSet.plot;                    % Display data
    reg = prtRegressGP;             % Create a prtRegressRvm object
    reg = reg.train(dataSet);        % Train the prtRegressRvm object
    reg.plot();                      % Plot the resulting curve
    dataSetOut = reg.run(dataSet);   % Run the regressor on the data
    hold on;
    plot(dataSet.getX,dataSetOut.getX,'c.') % Plot, overlaying the
                                            % fitted points with the 
                                            % curve and original data
  legend('Regression curve','Original Points','Fitted points',0)