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Removed pod dependency for pickle tests

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This commit is contained in:
Alan Saul 2014-11-03 13:36:46 +00:00
parent 02c903c4eb
commit 1385c3b271
2 changed files with 12 additions and 7 deletions
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2
GPy/examples/regression.py
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@ -468,7 +468,7 @@ def uncertain_inputs_sparse_regression(max_iters=200, optimize=True, plot=True):
k = GPy.kern.RBF(1)
# create simple GP Model - no input uncertainty on this one
m = GPy.models.SparseGPRegression(X, Y, kernel=GPy.kern.RBF(1), Z=Z)
m = GPy.models.SparseGPRegression(X, Y, kernel=k, Z=Z)
if optimize:
m.optimize('scg', messages=1, max_iters=max_iters)

15
GPy/testing/pickle_tests.py
View file

@ -17,10 +17,15 @@ from GPy.kern._src.rbf import RBF
from GPy.kern._src.linear import Linear
from GPy.kern._src.static import Bias, White
from GPy.examples.dimensionality_reduction import mrd_simulation
from GPy.examples.regression import toy_rbf_1d_50
from GPy.core.parameterization.variational import NormalPosterior
from GPy.models.gp_regression import GPRegression
def toy_model():
X = np.linspace(0,1,50)[:, None]
Y = np.sin(X)
m = GPRegression(X=X, Y=Y)
return m
class ListDictTestCase(unittest.TestCase):
def assertListDictEquals(self, d1, d2, msg=None):
for k,v in d1.iteritems():
@ -105,7 +110,7 @@ class Test(ListDictTestCase):
self.assertSequenceEqual(str(par), str(pcopy))
def test_model(self):
par = toy_rbf_1d_50(optimize=0, plot=0)
par = toy_model()
pcopy = par.copy()
self.assertListEqual(par.param_array.tolist(), pcopy.param_array.tolist())
np.testing.assert_allclose(par.gradient_full, pcopy.gradient_full)
@ -124,7 +129,7 @@ class Test(ListDictTestCase):
self.assert_(pcopy.checkgrad())
def test_modelrecreation(self):
par = toy_rbf_1d_50(optimize=0, plot=0)
par = toy_model()
pcopy = GPRegression(par.X.copy(), par.Y.copy(), kernel=par.kern.copy())
np.testing.assert_allclose(par.param_array, pcopy.param_array)
np.testing.assert_allclose(par.gradient_full, pcopy.gradient_full)
@ -135,7 +140,7 @@ class Test(ListDictTestCase):
self.assert_(np.any(pcopy.gradient!=0.0))
pcopy.optimize('bfgs')
par.optimize('bfgs')
np.testing.assert_allclose(pcopy.param_array, par.param_array, atol=.001)
np.testing.assert_allclose(pcopy.param_array, par.param_array, atol=1e-6)
with tempfile.TemporaryFile('w+b') as f:
par.pickle(f)
f.seek(0)
@ -193,7 +198,7 @@ class Test(ListDictTestCase):
@unittest.skip
def test_add_observer(self):
par = toy_rbf_1d_50(optimize=0, plot=0)
par = toy_model()
par.name = "original"
par.count = 0
par.add_observer(self, self._callback, 1)