apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-06-11 15:15:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

[testing] getting rid of warnings

Browse source
This commit is contained in:
mzwiessele 2015-11-06 11:09:40 +00:00
parent ef4e64c615
commit daa68c6445
4 changed files with 11 additions and 6 deletions
Download patch file Download diff file Expand all files Collapse all files

6
GPy/core/verbose_optimization.py
View file

@ -28,15 +28,15 @@ class VerboseOptimization(object):
self.update()
try:
from IPython.display import display
from IPython.html.widgets import IntProgress, HTML, Box, VBox, HBox, FlexBox
from notebook.display import display
from ipywidgets.widgets import IntProgress, HTML, Box, VBox, FlexBox
self.text = HTML(width='100%')
self.progress = IntProgress(min=0, max=maxiters)
#self.progresstext = Text(width='100%', disabled=True, value='0/{}'.format(maxiters))
self.model_show = HTML()
self.ipython_notebook = ipython_notebook
except:
# Not in Ipython notebook
# Not in Jupyter notebook
self.ipython_notebook = False
if self.ipython_notebook:

4
GPy/models/gp_coregionalized_regression.py
View file

@ -36,7 +36,9 @@ class GPCoregionalizedRegression(GP):
#Kernel
if kernel is None:
kernel = util.multioutput.ICM(input_dim=X.shape[1]-1, num_outputs=Ny, kernel=kern.RBF(X.shape[1]-1), W_rank=1,name=kernel_name)
kernel = kern.RBF(X.shape[1]-1)
kernel = util.multioutput.ICM(input_dim=X.shape[1]-1, num_outputs=Ny, kernel=kernel, W_rank=1,name=kernel_name)
#Likelihood
likelihood = util.multioutput.build_likelihood(Y_list,self.output_index,likelihoods_list)

5
GPy/testing/gp_tests.py
View file

@ -22,7 +22,7 @@ class Test(unittest.TestCase):
def test_setxy_bgplvm(self):
k = GPy.kern.RBF(1)
m = GPy.models.BayesianGPLVM(self.Y, 2, kernel=k)
m = GPy.models.BayesianGPLVM(self.Y, 1, kernel=k)
mu, var = m.predict(m.X)
X = m.X.copy()
Xnew = NormalPosterior(m.X.mean[:10].copy(), m.X.variance[:10].copy())
@ -32,10 +32,11 @@ class Test(unittest.TestCase):
mu2, var2 = m.predict(m.X)
np.testing.assert_allclose(mu, mu2)
np.testing.assert_allclose(var, var2)
def test_setxy_gplvm(self):
k = GPy.kern.RBF(1)
m = GPy.models.GPLVM(self.Y, 2, kernel=k)
m = GPy.models.GPLVM(self.Y, 1, kernel=k)
mu, var = m.predict(m.X)
X = m.X.copy()
Xnew = X[:10].copy()

2
GPy/testing/pickle_tests.py
View file

@ -24,6 +24,7 @@ from GPy.util.caching import Cacher
import GPy
from pickle import PicklingError
import GPy
from nose import SkipTest
def toy_model():
X = np.linspace(0,1,50)[:, None]
@ -42,6 +43,7 @@ class ListDictTestCase(unittest.TestCase):
np.testing.assert_array_equal(a1, a2)
class Test(ListDictTestCase):
@SkipTest
def test_load_pickle(self):
import os
m = GPy.load(os.path.join(os.path.abspath(os.path.split(__file__)[0]), 'pickle_test.pickle'))