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Python 3 fixes

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This commit is contained in:
Mike Croucher 2015-09-07 14:07:09 +01:00
parent d904045663
commit c47c63b408
3 changed files with 4 additions and 4 deletions
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4
GPy/core/sparse_gp.py
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@ -49,7 +49,7 @@ class SparseGP(GP):
else: else:
#inference_method = ?? #inference_method = ??
raise NotImplementedError("what to do what to do?") raise NotImplementedError("what to do what to do?")
print("defaulting to ", inference_method, "for latent function inference") print(("defaulting to ", inference_method, "for latent function inference"))
self.Z = Param('inducing inputs', Z) self.Z = Param('inducing inputs', Z)
self.num_inducing = Z.shape[0] self.num_inducing = Z.shape[0]
@ -159,7 +159,7 @@ class SparseGP(GP):
mu = np.dot(psi1_star, la) # TODO: dimensions? mu = np.dot(psi1_star, la) # TODO: dimensions?
if full_cov: if full_cov:
raise NotImplementedError, "Full covariance for Sparse GP predicted with uncertain inputs not implemented yet." raise NotImplementedError("Full covariance for Sparse GP predicted with uncertain inputs not implemented yet.")
var = np.empty((Xnew.shape[0], la.shape[1], la.shape[1])) var = np.empty((Xnew.shape[0], la.shape[1], la.shape[1]))
di = np.diag_indices(la.shape[1]) di = np.diag_indices(la.shape[1])
else: else:

2
GPy/inference/latent_function_inference/laplace.py
View file

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

2
GPy/likelihoods/gaussian.py
View file

@ -48,7 +48,7 @@ class Gaussian(Likelihood):
def betaY(self,Y,Y_metadata=None): def betaY(self,Y,Y_metadata=None):
#TODO: ~Ricardo this does not live here #TODO: ~Ricardo this does not live here
raise RuntimeError, "Please notify the GPy developers, this should not happen" raise RuntimeError("Please notify the GPy developers, this should not happen")
return Y/self.gaussian_variance(Y_metadata) return Y/self.gaussian_variance(Y_metadata)
def gaussian_variance(self, Y_metadata=None): def gaussian_variance(self, Y_metadata=None):