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moved *2. of psi2 statistics into kern and corrected bias+linear cross term

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This commit is contained in:
Max Zwiessele 2013-04-23 15:22:30 +01:00
parent 2c3a53b174
commit f01be172be
3 changed files with 282 additions and 259 deletions
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4
GPy/models/sparse_GP.py
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@ -239,10 +239,10 @@ class sparse_GP(GP):
"""
The derivative of the bound wrt the inducing inputs Z
"""
dL_dZ = 2.*self.kern.dK_dX(self.dL_dKmm,self.Z)#factor of two becase of vertical and horizontal 'stripes' in dKmm_dZ
dL_dZ = 2.*self.kern.dK_dX(self.dL_dKmm, self.Z) # factor of two becase of vertical and horizontal 'stripes' in dKmm_dZ
if self.has_uncertain_inputs:
dL_dZ += self.kern.dpsi1_dZ(self.dL_dpsi1,self.Z,self.X, self.X_variance)
dL_dZ += 2.*self.kern.dpsi2_dZ(self.dL_dpsi2,self.Z,self.X, self.X_variance) # 'stripes'
dL_dZ += self.kern.dpsi2_dZ(self.dL_dpsi2, self.Z, self.X, self.X_variance)
else:
dL_dZ += self.kern.dK_dX(self.dL_dpsi1,self.Z,self.X)
return dL_dZ