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[MRG+1] supress deprecation warnings for non_negative option #9356

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Merged
merged 3 commits into from
Jul 15, 2017
Merged

[MRG+1] supress deprecation warnings for non_negative option #9356

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bde797f
supress deprecation warnings for non_negative option
minghui-liu Jul 13, 2017
29cabba
more non_negative option deprecation warnings
minghui-liu Jul 14, 2017
7267122
fix flake8 warning
minghui-liu Jul 14, 2017
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1 change: 1 addition & 0 deletions sklearn/feature_extraction/tests/test_feature_hasher.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ def test_feature_hasher_dicts():
assert_array_equal(X1.toarray(), X2.toarray())


@ignore_warnings(category=DeprecationWarning)
def test_feature_hasher_strings():
# mix byte and Unicode strings; note that "foo" is a duplicate in row 0
raw_X = [["foo", "bar", "baz", "foo".encode("ascii")],
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6 changes: 5 additions & 1 deletion sklearn/feature_extraction/tests/test_text.py
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Expand Up @@ -28,7 +28,8 @@
assert_not_equal, assert_almost_equal,
assert_in, assert_less, assert_greater,
assert_warns_message, assert_raise_message,
clean_warning_registry, SkipTest)
clean_warning_registry, ignore_warnings,
SkipTest)

from collections import defaultdict, Mapping
from functools import partial
Expand Down Expand Up @@ -480,6 +481,7 @@ def test_tfidf_vectorizer_setters():
assert_true(tv._tfidf.sublinear_tf)


@ignore_warnings(category=DeprecationWarning)
def test_hashing_vectorizer():
v = HashingVectorizer()
X = v.transform(ALL_FOOD_DOCS)
Expand Down Expand Up @@ -651,6 +653,7 @@ def test_count_binary_occurrences():
assert_equal(X_sparse.dtype, np.float32)


@ignore_warnings(category=DeprecationWarning)
def test_hashed_binary_occurrences():
# by default multiple occurrences are counted as longs
test_data = ['aaabc', 'abbde']
Expand Down Expand Up @@ -784,6 +787,7 @@ def test_vectorizer_pipeline_cross_validation():
assert_array_equal(cv_scores, [1., 1., 1.])


@ignore_warnings(category=DeprecationWarning)
def test_vectorizer_unicode():
# tests that the count vectorizer works with cyrillic.
document = (
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