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Dont call parameters_changed ever yourself anymore and parameters are now inplace once in memory

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Max Zwiessele 2014-03-04 17:32:46 +00:00
parent 56d749ded8
commit 0df263956f
21 changed files with 601 additions and 284 deletions
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10
GPy/testing/likelihood_tests.py
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@ -10,7 +10,7 @@ from functools import partial
#np.random.seed(300)
#np.random.seed(7)
np.seterr(divide='raise')
#np.seterr(divide='raise')
def dparam_partial(inst_func, *args):
"""
If we have a instance method that needs to be called but that doesn't
@ -350,7 +350,7 @@ class TestNoiseModels(object):
def t_logpdf(self, model, Y, f):
print "\n{}".format(inspect.stack()[0][3])
print model
print model._get_params()
#print model._get_params()
np.testing.assert_almost_equal(
model.pdf(f.copy(), Y.copy()),
np.exp(model.logpdf(f.copy(), Y.copy()))
@ -664,7 +664,8 @@ class LaplaceTests(unittest.TestCase):
print m1
print m2
m2._set_params(m1._get_params())
m2.parameters_changed()
#m2._set_params(m1._get_params())
#Predict for training points to get posterior mean and variance
post_mean, post_var, _, _ = m1.predict(X)
@ -700,7 +701,8 @@ class LaplaceTests(unittest.TestCase):
np.testing.assert_almost_equal(m1.log_likelihood(), m2.log_likelihood(), decimal=2)
#Check marginals are the same with random
m1.randomize()
m2._set_params(m1._get_params())
#m2._set_params(m1._get_params())
m2.parameters_changed()
np.testing.assert_almost_equal(m1.log_likelihood(), m2.log_likelihood(), decimal=2)
#Check they are checkgradding