Merge branch 'devel' of github.com:SheffieldML/GPy into devel

GPy/inference/latent_function_inference/laplace.py

@@ -171,7 +171,6 @@ class Laplace(LatentFunctionInference):
         #define the objective function (to be maximised)
         def obj(Ki_f, f):
             ll = -0.5*np.sum(np.dot(Ki_f.T, f)) + np.sum(likelihood.logpdf(f, Y, Y_metadata=Y_metadata))
-            print(ll)
             if np.isnan(ll):
                 import ipdb; ipdb.set_trace()  # XXX BREAKPOINT
                 return -np.inf

GPy/models/gp_var_gauss.py

@@ -34,4 +34,3 @@ class GPVariationalGaussianApproximation(GP):
 
         self.link_parameter(self.alpha)
         self.link_parameter(self.beta)
-

setup.py

@@ -23,7 +23,7 @@ def ismac():
 
 if ismac():
     compile_flags = [ '-O3', ]
-    link_args = ['']
+    link_args = []
 else:
     compile_flags = [ '-fopenmp', '-O3', ]
     link_args = ['-lgomp']