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[ssgplvm] implement IBP prior

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This commit is contained in:
Zhenwen Dai 2015-05-21 14:18:32 +01:00
parent 21a39ffb87
commit afa0621488
4 changed files with 34 additions and 31 deletions
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3
GPy/core/gp.py
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@ -208,8 +208,7 @@ class GP(Model):
Kxx = kern.Kdiag(_Xnew)
var = Kxx - np.sum(WiKx*Kx, 0)
var = var.reshape(-1, 1)
var[var<0.] = 0.
var[var<0.] = 0.
#force mu to be a column vector
if len(mu.shape)==1: mu = mu[:,None]

4
GPy/core/parameterization/variational.py
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@ -172,11 +172,11 @@ class SpikeAndSlabPosterior(VariationalPosterior):
super(SpikeAndSlabPosterior, self).__init__(means, variances, name)
self.group_spike = group_spike
if group_spike:
self.gamma_group = Param("binary_prob_group",binary_prob.mean(axis=0),Logistic(0.,1.))
self.gamma_group = Param("binary_prob_group",binary_prob.mean(axis=0),Logistic(1e-6,1.-1e-6))
self.gamma = Param("binary_prob",binary_prob, __fixed__)
self.link_parameters(self.gamma_group,self.gamma)
else:
self.gamma = Param("binary_prob",binary_prob,Logistic(0.,1.))
self.gamma = Param("binary_prob",binary_prob,Logistic(1e-6,1.-1e-6))
self.link_parameter(self.gamma)
def propogate_val(self):