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BGPLVM working

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Nicolo Fusi 2013-01-29 15:57:03 +00:00
parent 936d08723e
commit ff1b64022e
2 changed files with 1 additions and 7 deletions
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6
GPy/models/BGPLVM.py
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@ -57,12 +57,6 @@ class Bayesian_GPLVM(sparse_GP_regression, GPLVM):
return np.hstack((dL_dmu.flatten(), dL_dS.flatten()))
def log_likelihood_gradients(self):
return np.hstack((self.dL_dmuS().flatten(), sparse_GP_regression.log_likelihood_gradients(self)))
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 = sparse_GP_regression.predict(self, self.Z+np.random.randn(*self.Z.shape)*0.0001)
pb.plot(mu[:, 0] , mu[:, 1], 'ko')