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[sparsegplvm] added sparsegplvm and tests for minibatch sparsegplvm

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This commit is contained in:
mzwiessele 2016-03-07 13:39:32 +00:00
parent 99caca6702
commit b0347c5108
4 changed files with 107 additions and 2 deletions
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2
GPy/models/bayesian_gplvm_minibatch.py
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@ -106,7 +106,7 @@ class BayesianGPLVMMiniBatch(SparseGPMiniBatch):
super(BayesianGPLVMMiniBatch,self).parameters_changed()
kl_fctr = self.kl_factr
if kl_fctr > 0:
if kl_fctr > 0 and self.has_uncertain_inputs():
Xgrad = self.X.gradient.copy()
self.X.gradient[:] = 0
self.variational_prior.update_gradients_KL(self.X)

3
GPy/models/sparse_gplvm.py
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@ -4,6 +4,7 @@
import sys
from .sparse_gp_regression import SparseGPRegression
from ..core import Param
class SparseGPLVM(SparseGPRegression):
"""
@ -21,7 +22,9 @@ class SparseGPLVM(SparseGPRegression):
if X is None:
from ..util.initialization import initialize_latent
X, fracs = initialize_latent(init, input_dim, Y)
X = Param('latent space', X)
SparseGPRegression.__init__(self, X, Y, kernel=kernel, num_inducing=num_inducing)
self.link_parameter(self.X, 0)
def parameters_changed(self):
super(SparseGPLVM, self).parameters_changed()