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Merge branch 'devel' of github.com:SheffieldML/GPy into devel
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commit
bc99d57f8d
12 changed files with 668 additions and 138 deletions
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@ -205,13 +205,13 @@ class sparse_GP(GP):
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self.kern._set_params(p[self.Z.size:self.Z.size+self.kern.Nparam])
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self.likelihood._set_params(p[self.Z.size+self.kern.Nparam:])
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self._compute_kernel_matrices()
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if self.auto_scale_factor:
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self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
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#if self.auto_scale_factor:
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# if self.likelihood.is_heteroscedastic:
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# self.scale_factor = max(1,np.sqrt(self.psi2_beta_scaled.sum(0).mean()))
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# else:
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# self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
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# self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
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if self.auto_scale_factor:
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if self.likelihood.is_heteroscedastic:
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self.scale_factor = max(100,np.sqrt(self.psi2_beta_scaled.sum(0).mean()))
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else:
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self.scale_factor = np.sqrt(self.psi2.sum(0).mean()*self.likelihood.precision)
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self._computations()
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def _get_params(self):
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