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[MRD] updates and nicer plotting

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This commit is contained in:
Max Zwiessele 2014-11-12 15:08:38 +00:00
parent 74b95d1b69
commit 3c642a5600
6 changed files with 26 additions and 8 deletions
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2
GPy/models/bayesian_gplvm_minibatch.py
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@ -54,6 +54,8 @@ class BayesianGPLVMMiniBatch(SparseGPMiniBatch):
self.variational_prior = NormalPrior()
X = NormalPosterior(X, X_variance)
self.kl_factr = 1.
if inference_method is None:
from ..inference.latent_function_inference.var_dtc import VarDTC
self.logger.debug("creating inference_method var_dtc")

2
GPy/models/mrd.py
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@ -100,7 +100,7 @@ class MRD(BayesianGPLVMMiniBatch):
self.logger.info("building kernels")
if kernel is None:
from ..kern import RBF
kernels = [RBF(input_dim, ARD=1, lengthscale=fracs[i]) for i in range(len(Ylist))]
kernels = [RBF(input_dim, ARD=1, lengthscale=1./fracs[i]) for i in range(len(Ylist))]
elif isinstance(kernel, Kern):
kernels = []
for i in range(len(Ylist)):