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adapt the new interface of the variational posterior distribution.

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This commit is contained in:
Zhenwen Dai 2014-02-21 17:56:37 +00:00
parent 34d9f90d92
commit 99c6a2095f
7 changed files with 96 additions and 389 deletions
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26
GPy/core/parameterization/variational.py
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@ -29,3 +29,29 @@ class Normal(Parameterized):
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ...plotting.matplot_dep import variational_plots
return variational_plots.plot(self,*args)
class SpikeAndSlab(Parameterized):
'''
The SpikeAndSlab distribution for variational approximations.
'''
def __init__(self, means, variances, binary_prob, name='latent space'):
"""
binary_prob : the probability of the distribution on the slab part.
"""
Parameterized.__init__(self, name=name)
self.mean = Param("mean", means)
self.variance = Param('variance', variances, Logexp())
self.gamma = Param("binary_prob",binary_prob,)
self.add_parameters(self.mean, self.variance, self.gamma)
def plot(self, *args):
"""
Plot latent space X in 1D:
See GPy.plotting.matplot_dep.variational_plots
"""
import sys
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ...plotting.matplot_dep import variational_plots
return variational_plots.plot(self,*args)