Your message dated Wed, 07 Aug 2024 11:50:32 +0000
with message-id <[email protected]>
and subject line Bug#1078123: fixed in scikit-learn 1.4.2+dfsg-6
has caused the Debian Bug report #1078123,
regarding scikit-learn: test_svm fails on i386 with scipy 1.13
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
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--
1078123: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1078123
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message ---
Source: scikit-learn
Version: 1.4.2+dfsg-5
Severity: normal
Control: forwarded -1 https://github.com/scikit-learn/scikit-learn/issues/29633
scipy 1.13 is triggering test failure in
test_svc_ovr_tie_breaking[NuSVC] on i386 architecture.
The error can be seeing in debian CI tests,
https://ci.debian.net/packages/s/scikit-learn/unstable/i386/
Full test log at
https://ci.debian.net/packages/s/scikit-learn/unstable/i386/50043538/
or https://ci.debian.net/packages/s/scikit-learn/testing/i386/50043537/
1333s _______________________ test_svc_ovr_tie_breaking[NuSVC]
_______________________
1333s
1333s SVCClass = <class 'sklearn.svm._classes.NuSVC'>
1333s
1333s @pytest.mark.parametrize("SVCClass", [svm.SVC, svm.NuSVC])
1333s def test_svc_ovr_tie_breaking(SVCClass):
1333s """Test if predict breaks ties in OVR mode.
1333s Related issue:
https://github.com/scikit-learn/scikit-learn/issues/8277
1333s """
1333s X, y = make_blobs(random_state=0, n_samples=20, n_features=2)
1333s
1333s xs = np.linspace(X[:, 0].min(), X[:, 0].max(), 100)
1333s ys = np.linspace(X[:, 1].min(), X[:, 1].max(), 100)
1333s xx, yy = np.meshgrid(xs, ys)
1333s
1333s common_params = dict(
1333s kernel="rbf", gamma=1e6, random_state=42,
decision_function_shape="ovr"
1333s )
1333s svm = SVCClass(
1333s break_ties=False,
1333s **common_params,
1333s ).fit(X, y)
1333s pred = svm.predict(np.c_[xx.ravel(), yy.ravel()])
1333s dv = svm.decision_function(np.c_[xx.ravel(), yy.ravel()])
1333s > assert not np.all(pred == np.argmax(dv, axis=1))
1333s E assert not True
1333s E + where True = <function all at 0xf689d5e0>(array([1, 1, 1,
..., 1, 1, 1]) == array([1, 1, ..., dtype=int32)
1333s E + where <function all at 0xf689d5e0> = np.all
1333s E
1333s E Full diff:
1333s E - array([1, 1, 1, ..., 1, 1, 1], dtype=int32)
1333s E ? -------------
1333s E + array([1, 1, 1, ..., 1, 1, 1]))
1333s
1333s /usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py:1225:
AssertionError
I'll add a patch to skip it in the meantime while upstream is
reworking the test.
--- End Message ---
--- Begin Message ---
Source: scikit-learn
Source-Version: 1.4.2+dfsg-6
Done: Drew Parsons <[email protected]>
We believe that the bug you reported is fixed in the latest version of
scikit-learn, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to [email protected],
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Drew Parsons <[email protected]> (supplier of updated scikit-learn package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing [email protected])
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256
Format: 1.8
Date: Wed, 07 Aug 2024 11:04:05 +0200
Source: scikit-learn
Architecture: source
Version: 1.4.2+dfsg-6
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Maintainers
<[email protected]>
Changed-By: Drew Parsons <[email protected]>
Closes: 1078123
Changes:
scikit-learn (1.4.2+dfsg-6) unstable; urgency=medium
.
* Team upload.
* skip test_svc_ovr_tie_breaking[NuSVC] (test_svm) on i386.
See upstream Issue#29633. Closes: 1078123.
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