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hierarchy edits. adding removing parameters withing hierarchy

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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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4
GPy/models/sparse_gp_regression.py
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@ -8,7 +8,7 @@ from .. import likelihoods
from .. import kern
from ..inference.latent_function_inference import VarDTC
from ..util.misc import param_to_array
from ..core.parameterization.variational import VariationalPosterior
from ..core.parameterization.variational import NormalPosterior
class SparseGPRegression(SparseGP):
"""
@ -47,7 +47,7 @@ class SparseGPRegression(SparseGP):
likelihood = likelihoods.Gaussian()
if not (X_variance is None):
X = VariationalPosterior(X,X_variance)
X = NormalPosterior(X,X_variance)
SparseGP.__init__(self, X, Y, Z, kernel, likelihood, inference_method=VarDTC())