From 6240f494f27752f3949311c77d97a3087513b0bf Mon Sep 17 00:00:00 2001 From: Zhenwen Dai Date: Thu, 28 May 2015 14:19:46 +0100 Subject: [PATCH] [ssgplvm] change the default gamma interval --- GPy/core/gp.py | 1 - GPy/core/parameterization/variational.py | 4 ++-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/GPy/core/gp.py b/GPy/core/gp.py index 89313ae2..898c7b58 100644 --- a/GPy/core/gp.py +++ b/GPy/core/gp.py @@ -89,7 +89,6 @@ class GP(Model): assert mean_function.output_dim == self.output_dim self.link_parameter(mean_function) - #find a sensible inference method logger.info("initializing inference method") if inference_method is None: diff --git a/GPy/core/parameterization/variational.py b/GPy/core/parameterization/variational.py index 7a58ac5e..f33e7715 100644 --- a/GPy/core/parameterization/variational.py +++ b/GPy/core/parameterization/variational.py @@ -176,11 +176,11 @@ class SpikeAndSlabPosterior(VariationalPosterior): self.mean.fix(warning=False) self.variance.fix(warning=False) 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.link_parameters(self.gamma_group,self.gamma) 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) def propogate_val(self):