2017-03-06 16:09:23 +01:00
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This drops a test that fails with numpy 1.12.
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Upstream bug URL: https://github.com/statsmodels/statsmodels/issues/3541
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--- a/statsmodels/discrete/tests/test_discrete.py 2017-03-06 15:29:19.947343331 +0000
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+++ b/statsmodels/discrete/tests/test_discrete.py 2017-03-06 15:29:37.759328845 +0000
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@@ -1329,21 +1329,6 @@
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res = mod.fit(start_params=-np.ones(4), method='newton', disp=0)
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assert_(not res.mle_retvals['converged'])
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-def test_issue_339():
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- # make sure MNLogit summary works for J != K.
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- data = sm.datasets.anes96.load()
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- exog = data.exog
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- # leave out last exog column
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- exog = exog[:,:-1]
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- exog = sm.add_constant(exog, prepend=True)
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- res1 = sm.MNLogit(data.endog, exog).fit(method="newton", disp=0)
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- # strip the header from the test
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- smry = "\n".join(res1.summary().as_text().split('\n')[9:])
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- cur_dir = os.path.dirname(os.path.abspath(__file__))
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- test_case_file = os.path.join(cur_dir, 'results', 'mn_logit_summary.txt')
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- test_case = open(test_case_file, 'r').read()
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- np.testing.assert_equal(smry, test_case[:-1])
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-
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def test_issue_341():
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data = sm.datasets.anes96.load()
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exog = data.exog
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