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fixed bug in RBF, added inducing inputs to BGPLVM plots
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4 changed files with 9 additions and 4 deletions
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@ -83,3 +83,7 @@ class Bayesian_GPLVM(sparse_GP, GPLVM):
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def _log_likelihood_gradients(self):
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return np.hstack((self.dL_dmuS().flatten(), sparse_GP._log_likelihood_gradients(self)))
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def plot_latent(self, *args, **kwargs):
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input_1, input_2 = GPLVM.plot_latent(*args, **kwargs)
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pb.plot(m.Z[:, input_1], m.Z[:, input_2], '^w')
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