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[ssgplvm] change the default gamma interval

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Zhenwen Dai 2015-05-28 14:19:46 +01:00
parent 01b501e078
commit 6240f494f2
2 changed files with 2 additions and 3 deletions
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1
GPy/core/gp.py
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@ -89,7 +89,6 @@ class GP(Model):
assert mean_function.output_dim == self.output_dim assert mean_function.output_dim == self.output_dim
self.link_parameter(mean_function) self.link_parameter(mean_function)
#find a sensible inference method #find a sensible inference method
logger.info("initializing inference method") logger.info("initializing inference method")
if inference_method is None: if inference_method is None:

4
GPy/core/parameterization/variational.py
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@ -176,11 +176,11 @@ class SpikeAndSlabPosterior(VariationalPosterior):
self.mean.fix(warning=False) self.mean.fix(warning=False)
self.variance.fix(warning=False) self.variance.fix(warning=False)
if group_spike: if group_spike:
self.gamma_group = Param("binary_prob_group",binary_prob.mean(axis=0),Logistic(1e-6,1.-1e-6)) self.gamma_group = Param("binary_prob_group",binary_prob.mean(axis=0),Logistic(1e-10,1.-1e-10))
self.gamma = Param("binary_prob",binary_prob, __fixed__) self.gamma = Param("binary_prob",binary_prob, __fixed__)
self.link_parameters(self.gamma_group,self.gamma) self.link_parameters(self.gamma_group,self.gamma)
else: else:
self.gamma = Param("binary_prob",binary_prob,Logistic(1e-6,1.-1e-6)) self.gamma = Param("binary_prob",binary_prob,Logistic(1e-10,1.-1e-10))
self.link_parameter(self.gamma) self.link_parameter(self.gamma)
def propogate_val(self): def propogate_val(self):