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bayesian gplvm plots inducing inputs automatically

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Max Zwiessele 2013-07-17 15:43:46 +01:00
parent c42cdba0e6
commit 09ee9e5fab
1 changed files with 2 additions and 2 deletions
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4
GPy/models/bayesian_gplvm.py
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@ -115,8 +115,8 @@ class BayesianGPLVM(SparseGP, GPLVM):
self.dbound_dZtheta = SparseGP._log_likelihood_gradients(self)
return np.hstack((self.dbound_dmuS.flatten(), self.dbound_dZtheta))
def plot_latent(self, *args, **kwargs):
return plot_latent.plot_latent(self, *args, **kwargs)
def plot_latent(self, plot_inducing=True, *args, **kwargs):
return plot_latent.plot_latent(self, plot_inducing=plot_inducing, *args, **kwargs)
def do_test_latents(self, Y):
"""