Пример #1
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 def plot_latent(self, *args, **kwargs):
     GPLVM.plot_latent(self, *args, **kwargs)
Пример #2
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 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')