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Allow the default constraint of a Param object to be 'fixed'

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This commit is contained in:
Zhenwen Dai 2014-09-02 11:52:09 +01:00
parent e332c1e246
commit 808cfb0501
3 changed files with 12 additions and 7 deletions
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11
GPy/core/parameterization/variational.py
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@ -7,7 +7,7 @@ Created on 6 Nov 2013
import numpy as np
from parameterized import Parameterized
from param import Param
from transformations import Logexp, Logistic
from transformations import Logexp, Logistic,__fixed__
class VariationalPrior(Parameterized):
def __init__(self, name='latent space', **kw):
@ -35,12 +35,15 @@ class NormalPrior(VariationalPrior):
class SpikeAndSlabPrior(VariationalPrior):
def __init__(self, pi=None, learnPi=False, variance = 1.0, name='SpikeAndSlabPrior', **kw):
super(VariationalPrior, self).__init__(name=name, **kw)
self.pi = Param('pi', pi, Logistic(1e-10,1.-1e-10))
super(SpikeAndSlabPrior, self).__init__(name=name, **kw)
self.variance = Param('variance',variance)
self.learnPi = learnPi
if learnPi:
self.add_parameters(self.pi)
self.pi = Param('Pi', pi, Logistic(1e-10,1.-1e-10))
else:
self.pi = Param('Pi', pi, __fixed__)
self.add_parameter(self.pi)
def KL_divergence(self, variational_posterior):
mu = variational_posterior.mean