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[minbatch var dtc] adjustments to bgplvm minibatch

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This commit is contained in:
Max Zwiessele 2014-11-03 14:19:03 +00:00
parent 6b3888f163
commit d0a5420f2f
2 changed files with 17 additions and 51 deletions
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4
GPy/models/bayesian_gplvm_minibatch.py
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@ -26,8 +26,6 @@ class BayesianGPLVMMiniBatch(SparseGPMiniBatch):
Z=None, kernel=None, inference_method=None, likelihood=None,
name='bayesian gplvm', normalizer=None,
missing_data=False, stochastic=False, batchsize=1):
self.__IN_OPTIMIZATION__ = False
self.logger = logging.getLogger(self.__class__.__name__)
if X is None:
from ..util.initialization import initialize_latent
@ -70,6 +68,8 @@ class BayesianGPLVMMiniBatch(SparseGPMiniBatch):
normalizer=normalizer,
missing_data=missing_data, stochastic=stochastic,
batchsize=batchsize)
self.X = X
self.link_parameter(self.X, 0)
def set_X_gradients(self, X, X_grad):
"""Set the gradients of the posterior distribution of X in its specific form."""