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TST replace pytest.warns(None) in test_label_propagation.py #23010

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Merged
merged 14 commits into from
Apr 4, 2022
Merged

TST replace pytest.warns(None) in test_label_propagation.py #23010

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b5fd289
Resolves issue #14613
Ben3940 Mar 30, 2022
8ca571b
Merge branch 'docs_refactor_EllipticEnvelope_fit' into main
Ben3940 Mar 30, 2022
e682686
Update sklearn/covariance/_elliptic_envelope.py
Ben3940 Mar 30, 2022
102e7b3
Merge branch 'scikit-learn:main' into main
Ben3940 Mar 30, 2022
65e8dae
bringing local repo in sync with origin repo
Ben3940 Mar 30, 2022
a1d7381
Bringing local repo into sync with origin repo
Ben3940 Mar 30, 2022
591c880
Merge branch 'main' of github.com:Ben3940/scikit-learn into main
Ben3940 Mar 30, 2022
ba636ba
Refactored test_label_propagation.py
Ben3940 Mar 30, 2022
115ae01
Merge remote-tracking branch 'upstream/main' into main
Ben3940 Mar 31, 2022
0c4a6f7
Update commit with changes suggested by jeremiedbb to improve origina…
Ben3940 Mar 31, 2022
52178a1
Merge branch 'scikit-learn:main' into test_label_propagation
Ben3940 Mar 31, 2022
2ce95e4
Fixed linting errors in test_label_propagation.py
Ben3940 Mar 31, 2022
1fd01e4
Merge branch 'test_label_propagation' of github.com:Ben3940/scikit-le…
Ben3940 Mar 31, 2022
4ed4dc0
Update sklearn/semi_supervised/tests/test_label_propagation.py
Ben3940 Apr 1, 2022
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13 changes: 7 additions & 6 deletions sklearn/semi_supervised/tests/test_label_propagation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@

import numpy as np
import pytest
import warnings

from scipy.sparse import issparse
from sklearn.semi_supervised import _label_propagation as label_propagation
Expand Down Expand Up @@ -151,14 +152,14 @@ def test_convergence_warning():
assert mdl.n_iter_ == mdl.max_iter

mdl = label_propagation.LabelSpreading(kernel="rbf", max_iter=500)
with pytest.warns(None) as record:
with warnings.catch_warnings():
warnings.simplefilter("error", ConvergenceWarning)
mdl.fit(X, y)
assert not [w.message for w in record]

mdl = label_propagation.LabelPropagation(kernel="rbf", max_iter=500)
with pytest.warns(None) as record:
with warnings.catch_warnings():
warnings.simplefilter("error", ConvergenceWarning)
mdl.fit(X, y)
assert not [w.message for w in record]


@pytest.mark.parametrize(
Expand All @@ -173,9 +174,9 @@ def test_label_propagation_non_zero_normalizer(LabelPropagationCls):
X = np.array([[100.0, 100.0], [100.0, 100.0], [0.0, 0.0], [0.0, 0.0]])
y = np.array([0, 1, -1, -1])
mdl = LabelPropagationCls(kernel="knn", max_iter=100, n_neighbors=1)
with pytest.warns(None) as record:
with warnings.catch_warnings():
warnings.simplefilter("error", RuntimeWarning)
mdl.fit(X, y)
assert not [w.message for w in record]


def test_predict_sparse_callable_kernel():
Expand Down