def predict(self, Xnew, full_cov=False, Y_metadata=None, kern=None, Yindex=<NUM_LIT:0>):
b = self.bgplvms[Yindex]<EOL>self.posterior = b.posterior<EOL>self.kern = b.kern<EOL>self.likelihood = b.likelihood<EOL>return super(MRD, self).predict(Xnew, full_cov, Y_metadata, kern)<EOL>
Prediction for data set Yindex[default=0].
This predicts the output mean and variance for the dataset given in Ylist[Yindex]