apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-06-05 14:55:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

dpgplvm.py: Wrap long line + remove tabs

Browse source
This commit is contained in:
Julien Bect 2020-06-23 22:33:17 +02:00 • committed by Neil Lawrence
parent fd24245b12
commit c23a1a0eb4
1 changed files with 6 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

7
GPy/models/dpgplvm.py
View file

@ -11,6 +11,11 @@ class DPBayesianGPLVM(BayesianGPLVM):
Z=None, kernel=None, inference_method=None, likelihood=None, Z=None, kernel=None, inference_method=None, likelihood=None,
name='bayesian gplvm', mpi_comm=None, normalizer=None, name='bayesian gplvm', mpi_comm=None, normalizer=None,
missing_data=False, stochastic=False, batchsize=1): missing_data=False, stochastic=False, batchsize=1):
super(DPBayesianGPLVM,self).__init__(Y=Y, input_dim=input_dim, X=X, X_variance=X_variance, init=init, num_inducing=num_inducing, Z=Z, kernel=kernel, inference_method=inference_method, likelihood=likelihood, mpi_comm=mpi_comm, normalizer=normalizer, missing_data=missing_data, stochastic=stochastic, batchsize=batchsize, name='dp bayesian gplvm') super(DPBayesianGPLVM,self).__init__(Y=Y, input_dim=input_dim, X=X, X_variance=X_variance,
init=init, num_inducing=num_inducing, Z=Z, kernel=kernel,
inference_method=inference_method, likelihood=likelihood,
mpi_comm=mpi_comm, normalizer=normalizer,
missing_data=missing_data, stochastic=stochastic,
batchsize=batchsize, name='dp bayesian gplvm')
self.X.mean.set_prior(X_prior) self.X.mean.set_prior(X_prior)
self.link_parameter(X_prior) self.link_parameter(X_prior)