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mzwiessele 2014-06-27 16:18:41 -07:00
parent 8213b5011c
commit 35b778b45f
6 changed files with 27 additions and 27 deletions
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3
GPy/models/bayesian_gplvm.py
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@ -37,13 +37,16 @@ class BayesianGPLVM(SparseGP):
self.init = init
if X_variance is None:
self.logger.info("initializing latent space variance ~ N(0,.1)")
X_variance = np.random.uniform(0,.1,X.shape)
if Z is None:
self.logger.info("initializing inducing inputs")
Z = np.random.permutation(X.copy())[:num_inducing]
assert Z.shape[1] == X.shape[1]
if kernel is None:
self.logger.info("initializing kernel RBF")
kernel = kern.RBF(input_dim, lengthscale=1./fracs, ARD=True) # + kern.white(input_dim)
if likelihood is None: