Debian Science Project
Summary
Bugs of task machine-learning
Total bugs: 50
Open bugs: 43
Fixed bugs: 7
Links to other tasks
Tasks overview
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Data management 56 (450)
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Economics 26 (136)
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Engineering-dev 73 (766)
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Machine learning 43 (412)
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Mathematics-dev 183 (1664)
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Social 0 (0)
Statistics 52 (383)
Tools 13 (58)
Typesetting 299 (2009)
Viewing 321 (1945)
Viewing-dev 74 (747)
Workflow 25 (161)
Legend
SeverityDependentSuggested
critical 0 0
grave 0 0
serious 3 0
important 15 0
normal 9 2
minor 3 1
wishlist 10 0

Summary bugs page of task Machine learning

Immediately looking into bugs of the dependencies of this task is advised (412)*

Open bugs in dependent packages

3 serious, 15 important, 9 normal, 3 minor, 10 wishlist
autoclass (1) Homepage: http://ti.arc.nasa.gov/tech/rse/synthesis-projects-applications/autoclass/ Vcs Debian QA Group
1096348 autoclass: ftbfs with GCC-15 forky, sid
galib (1) Homepage: http://lancet.mit.edu/ga/ Vcs Debian QA Group
544693 libga-dev: inclusion of GA headers interferes with unrelated code
gprolog (4) Homepage: http://www.gprolog.org/ Not maintained in Vcs Salvador Abreu
716094 [Mayhem] Bug report on gprolog: ma2asm crashes with exit status 139
716455 [Mayhem] Bug report on gprolog: wam2ma crashes with exit status 139
1036468 gprolog: patch to add watch + upstream/metadata
1096760 gprolog: ftbfs with GCC-15 forky, sid
liblinear (1) Homepage: https://www.csie.ntu.edu.tw/~cjlin/liblinear/ Vcs Debian Science Maintainers
1015500 liblinear: ftbfs with LTO (link time optimization) enabled experimental, sid, trixie
libsvm (4) Homepage: https://www.csie.ntu.edu.tw/~cjlin/libsvm/ Vcs Debian Science Maintainers
691432 libsvm-tools: please, provide the octave interface to libsvm
809737 libsvm3-java: Please include pom metadata in /usr/share/maven-repo
1009324 GPU (CUDA) Support
1015527 libsvm: ftbfs with LTO (link time optimization) enabled experimental, sid, trixie
libvigraimpex (3) Homepage: https://ukoethe.github.io/vigra/ Vcs Debian Science Maintainers
812852 libvigraimpex: fail of test_multiarray_chunked on ppc64el
852051 libvigraimpex: captures build path (doesn't build reproducible)
1035161 libvigraimpex: please add autopkgtests (to add coverage for python3-numpy)
mcl (1) Homepage: https://micans.org/mcl/ Vcs Debian Med Packaging Team
1091257 mcl: FTBFS on armhf: mcxquery.c:1242:58: error: passing argument 4 of ‘get_cls_id’ from incompatible pointer type [-Wincompatible-pointer-types] ftbfs, sid, trixie
mdp (2) Homepage: https://mdp-toolkit.github.io/ Vcs Debian Python Team
1007813 Newer LIBSVM breaks mdp
1085687 mdp: Python SyntaxWarning
mlpy (2) Homepage: https://mlpy.fbk.eu/ Vcs Debian Science Maintainers
1075279 mlpy: ftbfs with GCC-14 ftbfs, sid, trixie
1092779 mlpy: switch away from cython-legacy
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
pytorch (12) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
983517 pytorch: Build documentation
1057644 pytorch: build for all supported Python versions wontfix
1102203 pytorch: CVE-2025-3136 security, upstream
1102219 pytorch: CVE-2025-2148 security, upstream
1102220 pytorch: CVE-2025-2149 security, upstream
1102229 pytorch: CVE-2025-2953 fixed-upstream, security, upstream
1102230 pytorch: CVE-2025-2998 security, upstream
1102231 pytorch: CVE-2025-2999 security, upstream
1102232 pytorch: CVE-2025-3000 security, upstream
1102233 pytorch: CVE-2025-3001 security, upstream
1102236 pytorch: CVE-2025-3121 security, upstream
1103455 pytorch: CVE-2025-3730 fixed-upstream, security, upstream
r-cran-gbm (2) Homepage: https://cran.r-project.org/package=gbm Vcs Debian R Packages Maintainers
805395 predict.gbm() using single.tree=TRUE does not return the correct predictions with multinomial distribution fixed-upstream, moreinfo
1064922 src:r-cran-gbm: fails to migrate to testing for too long: autopkgtest regression sid, trixie, upstream
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
statsmodels (1) Homepage: https://www.statsmodels.org Vcs Debian Science Maintainers
962712 please add support for x13as

Open bugs in suggested packages

2 normal, 1 minor
debian-science (3) Homepage: https://wiki.debian.org/DebianScience/ Vcs Debian Science Team
1030327 science-numericalcomputation: please stop recommending python3-theano as it is being removed
1032638 please drop transitional package science-electronics from src:debian-science
1055339 debian-science: please replace recommendation of src:dolfin by src:fenics-dolfinx

Done bugs

libvigraimpex (1) Homepage: https://ukoethe.github.io/vigra/ Vcs Debian Science Maintainers
1094932 python3-sphinx: Segmentation fault trying to build libvigraimpex
pytorch (4) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
994423 pytorch: Baseline violation on armhf bookworm, bullseye, experimental, ftbfs, sid, trixie
1083727 pytorch: (build-)depends on deprecated module python3-pkg-resources sid, trixie
1083729 pytorch: (build-)depends on deprecated module python3-pkg-resources sid, trixie
1102472 python3-torch: -march=native leaks into rdeps
scikit-learn (2) 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
*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:
critical10
grave10
serious10
important5
normal3
minor1
wishlist0
Last update: Thu, 08 May 2025 18:19:38 -0000