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re-using the verbose-eval parameter in the cv and aggcv methods and tests adapted

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ivallesp
2016-02-19 17:14:57 +01:00
parent c7f2f3f5b7
commit ed5c98f0ee
2 changed files with 492 additions and 2 deletions
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4
tests/python/test_basic.py
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@@ -225,13 +225,13 @@ class TestBasic(unittest.TestCase):
# show progress log (result is the same as above)
cv = xgb.cv(params, dm, num_boost_round=10, nfold=10,
show_progress=True)
verbose_eval=True)
assert isinstance(cv, pd.DataFrame)
exp = pd.Index([u'test-error-mean', u'test-error-std',
u'train-error-mean', u'train-error-std'])
assert cv.columns.equals(exp)
cv = xgb.cv(params, dm, num_boost_round=10, nfold=10,
show_progress=True, show_stdv=False)
verbose_eval=True, show_stdv=False)
assert isinstance(cv, pd.DataFrame)
exp = pd.Index([u'test-error-mean', u'test-error-std',
u'train-error-mean', u'train-error-std'])