Summary

Bugs of task machine-learning

Total bugs: 31

Open bugs: 18

Fixed bugs: 13

Links to other tasks

Tasks overview

Coherent-diffraction 0 (0)

Control-systems 19 (186)

Control-systems-dev 19 (186)

Data-reduction-frameworks 276 (2403)

Data-reduction-frameworks-dev 7 (117)

Diffraction 26 (277)

Grazing-incidence 4 (36)

Imaging 236 (1964)

Laue 0 (0)

Machine-learning 18 (134)

Modelling 6 (51)

Mx 84 (673)

Mx-dev 2 (10)

Powder 14 (153)

Small-angle-scattering 16 (192)

Spectroscopy 15 (174)

Tomography 54 (488)

Xas 7 (51)

Legend

Severity	Dependent	Suggested
critical	0	0
grave	0	0
serious	0	0
important	3	1
normal	9	1
minor	0	0
wishlist	4	0

Summary bugs page of task Machine-learning

Immediately looking into bugs of the dependencies of this task is advised (134)^*

Open bugs in dependent packages

3 important, 9 normal, 4 wishlist

keras-applications (1) Homepage: https://keras.io/ Vcs Debian Science Maintainers
971478	keras-applications: autopkgtest must be marked superficial
mdp (2) Homepage: https://mdp-toolkit.github.io/ Vcs Debian Python Team
1007813	Newer LIBSVM breaks mdp
1085687	mdp: Python SyntaxWarning
opencv (2) Homepage: https://opencv.org Vcs Debian Science Team
989958	libopencv-*-dev: Missing pkg-config file (.pc)	upstream, wontfix
1100979	python3-opencv: please provide typing stubs
python-pyclustering (3) Homepage: https://github.com/annoviko/pyclustering Vcs Debian Science Maintainers
1035220	python-pyclustering: please add autopkgtests (to add coverage for python3-numpy)
1036493	python-pyclustering: please add autopkgtests (to add coverage for python3-matplotlib)
1086924	python-pyclustering: Python SyntaxWarning
pytorch (4) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
983517	pytorch: Build documentation
1057644	pytorch: build for all supported Python versions	wontfix
1083727	pytorch: (build-)depends on deprecated module python3-pkg-resources	sid, trixie
1083729	pytorch: (build-)depends on deprecated module python3-pkg-resources	sid, trixie
scikit-learn (4) Homepage: https://scikit-learn.org Vcs Debian Science Maintainers
1064280	scikit-learn: armhf tests failing: not giving expected divide-by-zero warning
1074234	scikit-learn: CVE-2024-5206	security, upstream
1088436	scikit-learn: move from twitter-bootstrap{3,4} to bootstrap-html (v5)	upstream
1088593	python-sklearn-doc: move from twitter-bootstrap{3,4} to bootstrap-html (v5)	upstream

Open bugs in suggested packages

1 important, 1 normal

pytorch-cuda (2) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
1083730	pytorch-cuda: (build-)depends on deprecated module python3-pkg-resources	sid, trixie
1086774	Please drop dependency on python3-astunparse

Done bugs

opencv (6) Homepage: https://opencv.org Vcs Debian Science Team
1046728	opencv: Fails to build source after successful build	ftbfs, sid, trixie
1084865	opencv: FTBFS on alpha due to missing files during dh_install
1099764	python3-opencv: missing dist-info directory
1099765	opencv: unnecessary ${t64:Provides} in debian/control
1099990	opencv: Please disable 1394 build-dep on hurd-amd64 too (actually all non-linux)	patch
1100645	opencv: build-depends on removed package libopenjpip-server
pytorch (1) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
994423	pytorch: Baseline violation on armhf	bookworm, bullseye, experimental, ftbfs, sid, trixie
pytorch-cuda (3) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
1089271	pytorch-cuda: FTBFS with make 4.4.1	ftbfs, pending, sid, trixie
1098962	python3-torch-cuda undefined symbol: nvtxRangePop
1100688	pytorch-cuda: rebuild for cpp-httplib transition
scikit-learn (3) Homepage: https://scikit-learn.org Vcs Debian Science Maintainers
1008369	scikit-learn: FTBFS: dh_auto_test: error: pybuild --test -i python{version} -p "3.10 3.9" returned exit code 13	bookworm, ftbfs, moreinfo, sid, trixie, unreproducible
1029701	scikit-learn: tests fail with scipy 1.10	fixed-upstream
1096252	scikit-learn: fails tests with scipy 1.15

^*To estimate the overall status of the packages in the dependencies of a metapackage a weighted severity is calculated. Done bugs are ignored and bugs in dependent and recommended packages are weighted by factor three compared to suggested packages. Release critical bugs have a much larger weight than important, while the contribution of normal bugs is even smaller and minor bugs have a very small weight. Wishlist bugs are ignored in this calculation. The resulting sum is compared to some boundaries to find a verbal form. The actual numbers need some adjustment to make real sense - this evaluation method is in testing phase.
The severities of bugs are weighted as follows:

critical	10
grave	10
serious	10
important	5
normal	3
minor	1
wishlist	0