apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-07-02 16:01:03 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

add the regression benchmark

Browse source
This commit is contained in:
Zhenwen Dai 2015-08-27 17:04:52 +01:00
parent f221a3b1fa
commit 60aa865631
7 changed files with 310 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

6
GPy/inference/latent_function_inference/inferenceX.py
View file

@ -4,6 +4,7 @@
import numpy as np
from ...core import Model
from ...core.parameterization import variational
from GPy.core.parameterization.variational import VariationalPosterior
def infer_newX(model, Y_new, optimize=True, init='L2'):
"""
@ -60,7 +61,8 @@ class InferenceX(Model):
# self.kern.GPU(True)
from copy import deepcopy
self.posterior = deepcopy(model.posterior)
if hasattr(model, 'variational_prior'):
from ...core.parameterization.variational import VariationalPosterior
if isinstance(model.X, VariationalPosterior):
self.uncertain_input = True
from ...models.ss_gplvm import IBPPrior
from ...models.ss_mrd import IBPPrior_SSMRD
@ -71,7 +73,7 @@ class InferenceX(Model):
self.variational_prior = model.variational_prior.copy()
else:
self.uncertain_input = False
if hasattr(model, 'inducing_inputs'):
if hasattr(model, 'Z'):
self.sparse_gp = True
self.Z = model.Z.copy()
else: