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add util.parallel into import

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This commit is contained in:
Zhenwen Dai 2015-09-03 16:32:06 +01:00
parent 9564287cf3
commit ded0b3366d
2 changed files with 5 additions and 3 deletions
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7
GPy/inference/latent_function_inference/inferenceX.py
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@ -4,6 +4,7 @@
import numpy as np
from ...core import Model
from ...core.parameterization import variational
from ...util.linalg import tdot
from GPy.core.parameterization.variational import VariationalPosterior
def infer_newX(model, Y_new, optimize=True, init='L2'):
@ -127,13 +128,13 @@ class InferenceX(Model):
wv = wv[:,self.valid_dim]
output_dim = self.valid_dim.sum()
if self.ninan is not None:
self.dL_dpsi2 = beta/2.*(self.posterior.woodbury_inv[:,:,self.valid_dim] - np.einsum('md,od->mo',wv, wv)[:, :, None]).sum(-1)
self.dL_dpsi2 = beta/2.*(self.posterior.woodbury_inv[:,:,self.valid_dim] - tdot(wv)[:, :, None]).sum(-1)
else:
self.dL_dpsi2 = beta/2.*(output_dim*self.posterior.woodbury_inv - np.einsum('md,od->mo',wv, wv))
self.dL_dpsi2 = beta/2.*(output_dim*self.posterior.woodbury_inv - tdot(wv))
self.dL_dpsi1 = beta*np.dot(self.Y[:,self.valid_dim], wv.T)
self.dL_dpsi0 = - beta/2.* np.ones(self.Y.shape[0])
else:
self.dL_dpsi2 = beta*(output_dim*self.posterior.woodbury_inv - np.einsum('md,od->mo',wv, wv))/2.
self.dL_dpsi2 = beta*(output_dim*self.posterior.woodbury_inv - tdot(wv))/2. #np.einsum('md,od->mo',wv, wv)
self.dL_dpsi1 = beta*np.dot(self.Y, wv.T)
self.dL_dpsi0 = -beta/2.*output_dim* np.ones(self.Y.shape[0])