apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-09 12:02:38 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

[plotting] still testing the testing

Browse source
This commit is contained in:
Max Zwiessele 2016-03-31 14:06:23 +01:00
parent 1376113405
commit 0116b03f3c
7 changed files with 32 additions and 28 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/models/sparse_gp_regression.py
View file

@ -30,7 +30,7 @@ class SparseGPRegression(SparseGP_MPI):
"""
def __init__(self, X, Y, kernel=None, Z=None, num_inducing=10, X_variance=None, normalizer=None, mpi_comm=None):
def __init__(self, X, Y, kernel=None, Z=None, num_inducing=10, X_variance=None, normalizer=None, mpi_comm=None, name='sparse_gp'):
num_data, input_dim = X.shape
# kern defaults to rbf (plus white for stability)
@ -55,7 +55,7 @@ class SparseGPRegression(SparseGP_MPI):
else:
infr = VarDTC()
SparseGP_MPI.__init__(self, X, Y, Z, kernel, likelihood, inference_method=infr, normalizer=normalizer, mpi_comm=mpi_comm)
SparseGP_MPI.__init__(self, X, Y, Z, kernel, likelihood, inference_method=infr, normalizer=normalizer, mpi_comm=mpi_comm, name=name)
def parameters_changed(self):
from ..inference.latent_function_inference.var_dtc_parallel import update_gradients_sparsegp,VarDTC_minibatch