code: def predict(self, Xnew, full_cov=False, kern=None, **kwargs):
          
          return self.predict_noiseless(Xnew, full_cov=full_cov, kern=kern)
docs: Predict the function(s) at the new point(s) Xnew. For Student-t processes, this method is equivalent to
          predict_noiseless as no likelihood is included in the model.