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hierarchy edits. adding removing parameters withing hierarchy

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This commit is contained in:
Max Zwiessele 2014-02-28 16:18:47 +00:00
parent c87bda9e49
commit 47e4026141
11 changed files with 106 additions and 64 deletions
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5
GPy/inference/latent_function_inference/var_dtc.py
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@ -60,8 +60,7 @@ class VarDTC(object):
_, output_dim = Y.shape
#see whether we've got a different noise variance for each datum
beta = 1./max(1e-6, np.squeeze(likelihood.variance))
beta = 1./np.fmax(likelihood.variance, 1e-6)
# VVT_factor is a matrix such that tdot(VVT_factor) = VVT...this is for efficiency!
#self.YYTfactor = self.get_YYTfactor(Y)
#VVT_factor = self.get_VVTfactor(self.YYTfactor, beta)
@ -214,7 +213,7 @@ class VarDTCMissingData(object):
psi2_all = None
Ys, traces = self._Y(Y)
beta_all = 1./max(1e-6, likelihood.variance)
beta_all = 1./np.fmax(likelihood.variance, 1e-6)
het_noise = beta_all.size != 1
import itertools