def plot_latent(self, *args, **kwargs): GPLVM.plot_latent(self, *args, **kwargs)
def plot(self): GPLVM.plot(self) # passing Z without a small amout of jitter will induce the white kernel where we don;t want it! mu, var, upper, lower = SparseGPRegression.predict(self, self.Z + np.random.randn(*self.Z.shape) * 0.0001) pb.plot(mu[:, 0] , mu[:, 1], 'ko')