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plot_latent enhancements

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This commit is contained in:
Max Zwiessele 2013-06-28 11:00:42 +01:00
parent 08a902ed6c
commit 7325e319b4
2 changed files with 32 additions and 20 deletions
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5
GPy/models/bayesian_gplvm.py
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@ -24,8 +24,7 @@ class BayesianGPLVM(SparseGP, GPLVM):
"""
def __init__(self, likelihood_or_Y, input_dim, X=None, X_variance=None, init='PCA', num_inducing=10,
Z=None, kernel=None, oldpsave=10, _debug=False,
**kwargs):
Z=None, kernel=None, **kwargs):
if type(likelihood_or_Y) is np.ndarray:
likelihood = Gaussian(likelihood_or_Y)
else:
@ -117,7 +116,7 @@ class BayesianGPLVM(SparseGP, GPLVM):
return np.hstack((self.dbound_dmuS.flatten(), self.dbound_dZtheta))
def plot_latent(self, *args, **kwargs):
return plot_latent.plot_latent_indices(self, *args, **kwargs)
return plot_latent.plot_latent(self, *args, **kwargs)
def do_test_latents(self, Y):
"""