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merge rbf_inv changes

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Max Zwiessele 2013-07-18 15:53:50 +01:00
commit cdf7735176
3 changed files with 15 additions and 17 deletions
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25
GPy/kern/parts/rbf_inv.py
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@ -159,21 +159,20 @@ class RBFInv(RBF):
def dpsi1_dtheta(self, dL_dpsi1, Z, mu, S, target):
self._psi_computations(Z, mu, S)
# #d_length = self._psi1[:, :, None] * (-0.5 * ((np.square((self._psi1_dist)/(self.inv_lengthscale * S[:,None,:] + 1))) + ((S[:, None, :])/(self.inv_lengthscale * S[:, None, :] + 1))))
tmp = 1 + S[:, None, :] * self.inv_lengthscale2
# inv_len3 = np.power(self.inv_lengthscale,3)
d_length = -(self._psi1[:, :, None] * ((np.square(self._psi1_dist) * self.inv_lengthscale) / (tmp ** 2) + (S[:, None, :] * self.inv_lengthscale) / (tmp)))
tmp = 1 + S[:,None,:]*self.inv_lengthscale2
d_inv_length_old = -self._psi1[:,:,None] * ((self._psi1_dist_sq - 1.)/(self.lengthscale*self._psi1_denom) + self.inv_lengthscale)/self.inv_lengthscale2
d_inv_length = -self._psi1[:,:,None] * ((self._psi1_dist_sq - 1.)/self._psi1_denom + self.lengthscale)
target[0] += np.sum(dL_dpsi1 * self._psi1 / self.variance)
dpsi1_dlength = d_length * dL_dpsi1[:, :, None]
dpsi1_dlength = d_inv_length * dL_dpsi1[:, :, None]
if not self.ARD:
target[1] += dpsi1_dlength.sum() # *(-self.lengthscale2)
target[1] += dpsi1_dlength.sum()#*(-self.lengthscale2)
else:
target[1:] += dpsi1_dlength.sum(0).sum(0) # *(-self.lengthscale2)
# target[1:] = target[1:]*(-self.lengthscale2)
target[1:] += dpsi1_dlength.sum(0).sum(0)#*(-self.lengthscale2)
#target[1:] = target[1:]*(-self.lengthscale2)
def dpsi1_dZ(self, dL_dpsi1, Z, mu, S, target):
self._psi_computations(Z, mu, S)
dpsi1_dZ = -self._psi1[:, :, None] * ((self.inv_lengthscale2 * self._psi1_dist) / self._psi1_denom)
dpsi1_dZ = -self._psi1[:, :, None] * ((self.inv_lengthscale2*self._psi1_dist)/self._psi1_denom)
target += np.sum(dL_dpsi1[:, :, None] * dpsi1_dZ, 0)
def dpsi1_dmuS(self, dL_dpsi1, Z, mu, S, target_mu, target_S):
@ -186,15 +185,15 @@ class RBFInv(RBF):
"""Shape N,num_inducing,num_inducing,Ntheta"""
self._psi_computations(Z, mu, S)
d_var = 2.*self._psi2 / self.variance
# d_length = 2.*self._psi2[:, :, :, None] * (self._psi2_Zdist_sq * self._psi2_denom + self._psi2_mudist_sq + S[:, None, None, :] / self.lengthscale2) / (self.lengthscale * self._psi2_denom)
#d_length = 2.*self._psi2[:, :, :, None] * (self._psi2_Zdist_sq * self._psi2_denom + self._psi2_mudist_sq + S[:, None, None, :] / self.lengthscale2) / (self.lengthscale * self._psi2_denom)
d_length = -2.*self._psi2[:, :, :, None] * (self._psi2_Zdist_sq * self._psi2_denom + self._psi2_mudist_sq + S[:, None, None, :] * self.inv_lengthscale2) / (self.inv_lengthscale * self._psi2_denom)
target[0] += np.sum(dL_dpsi2 * d_var)
dpsi2_dlength = d_length * dL_dpsi2[:, :, :, None]
if not self.ARD:
target[1] += dpsi2_dlength.sum() # *(-self.lengthscale2)
target[1] += dpsi2_dlength.sum()#*(-self.lengthscale2)
else:
target[1:] += dpsi2_dlength.sum(0).sum(0).sum(0) # *(-self.lengthscale2)
# target[1:] = target[1:]*(-self.lengthscale2)
target[1:] += dpsi2_dlength.sum(0).sum(0).sum(0)#*(-self.lengthscale2)
#target[1:] = target[1:]*(-self.lengthscale2)
def dpsi2_dZ(self, dL_dpsi2, Z, mu, S, target):
self._psi_computations(Z, mu, S)