Debian Science Project
Summary
Bugs of task machine-learning
Total bugs: 46
Open bugs: 40
Fixed bugs: 6
Links to other tasks
Tasks overview
Biology 11 (157)
Chemistry 101 (1086)
Data acquisition 58 (258)
Data management 55 (459)
Devices 5 (54)
Economics 29 (163)
Engineering 73 (716)
Engineering-dev 56 (531)
Geography 97 (740)
Geometry 4 (21)
Linguistics 94 (464)
Logic 39 (273)
Machine learning 40 (382)
Mathematics 253 (2179)
Mathematics-dev 163 (1349)
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Meteorology-dev 196 (821)
Nanoscale physics 309 (2519)
Physics 87 (909)
Physics-dev 34 (299)
Presentation 86 (714)
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Robotics 108 (462)
Robotics-dev 31 (309)
Simulations 53 (614)
Social 0 (0)
Statistics 52 (395)
Tools 13 (52)
Typesetting 283 (1914)
Viewing 312 (1895)
Viewing-dev 71 (723)
Workflow 28 (209)
Legend
SeverityDependentSuggested
critical 0 0
grave 0 0
serious 6 0
important 3 0
normal 15 2
minor 5 1
wishlist 8 0

Summary bugs page of task Machine learning

Immediately looking into bugs of the dependencies of this task is advised (382)*

Open bugs in dependent packages

6 serious, 3 important, 15 normal, 5 minor, 8 wishlist
galib (1) Homepage: http://lancet.mit.edu/ga/ Vcs Debian QA Group
544693 libga-dev: inclusion of GA headers interferes with unrelated code
gprolog (3) 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
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 (5) 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
1057522 libsvm: FTBFS with default Java 21 experimental, ftbfs, patch, sid, trixie
libvigraimpex (4) 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)
1094371 libvigraimpex: FTBFS with numpy 2.x ftbfs, upstream
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 (3) Homepage: https://mdpdocs.readthedocs.io Vcs Debian Python Team
1007813 Newer LIBSVM breaks mdp
1068499 Homepage needs updating
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 (6) Homepage: https://opencv.org Vcs Debian Science Team
989958 libopencv-*-dev: Missing pkg-config file (.pc) upstream
1017348 libopencv-imgproc406: cv::boundingRect fails on ppc64el
1040356 libopencv-highgui406: cv2.waitKeyEx doesn't respond with extended code to alphabet keyboard button
1041650 libopencv-dev: license in /usr/share/licenses
1046728 opencv: Fails to build source after successful build ftbfs, sid, trixie
1084865 opencv: FTBFS on alpha due to missing files during dh_install
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
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

mcl (2) Homepage: https://micans.org/mcl/ Vcs Debian Med Packaging Team
1046152 mcl: Fails to build source after successful build ftbfs, sid, trixie
1093893 src:mcl: fails to migrate to testing for too long sid, trixie
pytorch (2) Homepage: https://pytorch.org/ Vcs Debian Deep Learning Team
994423 pytorch: Baseline violation on armhf bookworm, bullseye, experimental, ftbfs, sid, trixie
1088810 pytorch: FTBFS with Make 4.4.1 ftbfs, patch, sid, trixie
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, 30 Jan 2025 18:19:32 -0000