Fix merge conflicts

This commit is contained in:
Mike Croucher 2015-04-01 13:03:48 +01:00
commit 5c653fa4b0
39 changed files with 631 additions and 259 deletions

View file

@ -35,8 +35,8 @@ class Gaussian(Likelihood):
gp_link = link_functions.Identity()
if not isinstance(gp_link, link_functions.Identity):
print "Warning, Exact inference is not implemeted for non-identity link functions,\
if you are not already, ensure Laplace inference_method is used"
print("Warning, Exact inference is not implemeted for non-identity link functions,\
if you are not already, ensure Laplace inference_method is used")
super(Gaussian, self).__init__(gp_link, name=name)

View file

@ -565,7 +565,7 @@ class Likelihood(Parameterized):
:param burnin: number of samples to use for burnin (will need modifying)
:param Y_metadata: Y_metadata for pdf
"""
print "Warning, using MCMC for sampling y*, needs to be tuned!"
print("Warning, using MCMC for sampling y*, needs to be tuned!")
if starting_loc is None:
starting_loc = fNew
from functools import partial
@ -619,8 +619,8 @@ class Likelihood(Parameterized):
#Show progress
if i % int((burn_in+num_samples)*0.1) == 0:
print "{}% of samples taken ({})".format((i/int((burn_in+num_samples)*0.1)*10), i)
print "Last run accept ratio: ", accept_ratio[i]
print("{}% of samples taken ({})".format((i/int((burn_in+num_samples)*0.1)*10), i))
print("Last run accept ratio: ", accept_ratio[i])
print "Average accept ratio: ", np.mean(accept_ratio)
print("Average accept ratio: ", np.mean(accept_ratio))
return chain_values