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Used scipy.log1p since it gives more consistent results cross-platform

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This commit is contained in:
Mike Croucher 2015-09-07 16:41:14 +01:00
parent 425a4727d2
commit 415d99d62d
1 changed files with 2 additions and 2 deletions
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4
GPy/testing/link_function_tests.py
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@ -97,13 +97,13 @@ class LinkFunctionTests(np.testing.TestCase):
#Check the clipping works
np.testing.assert_almost_equal(link.transf(self.f_lower_lim), 0, decimal=5)
#Need to look at most significant figures here rather than the decimals
np.testing.assert_approx_equal(link.transf(self.f_upper_lim), np.log1p(_lim_val), significant=5)
np.testing.assert_approx_equal(link.transf(self.f_upper_lim), scipy.special.log1p(_lim_val), significant=5)
self.check_overflow(link, lim_of_inf)
#Check that it would otherwise fail
beyond_lim_of_inf = lim_of_inf + 10.0
old_err_state = np.seterr(over='ignore')
self.assertTrue(np.isinf(np.log1p(np.exp(beyond_lim_of_inf))))
self.assertTrue(np.isinf(scipy.special.log1p(np.exp(beyond_lim_of_inf))))
np.seterr(**old_err_state)