Debian Science Project
Summary
Bugs of task machine-learning
Total bugs: 49
Open bugs: 46
Fixed bugs: 3
Links to other tasks
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Legend
SeverityDependentSuggested
critical 0 0
grave 0 0
serious 3 0
important 17 0
normal 9 2
minor 4 1
wishlist 10 0

Summary bugs page of task Machine learning

Immediately looking into bugs of the dependencies of this task is advised (445)*

Open bugs in dependent packages

3 serious, 17 important, 9 normal, 4 minor, 10 wishlist
1096348 autoclass: ftbfs with GCC-15 forky, sid
544693 libga-dev: inclusion of GA headers interferes with unrelated code
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
1015500 liblinear: ftbfs with LTO (link time optimization) enabled trixie, sid, experimental
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 trixie, sid, experimental
1105475 libsvm: FTBFS with make --shuffle=reverse: svm_toy.java:280: error: cannot find symbol ftbfs, sid, trixie
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)
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
1007813 Newer LIBSVM breaks mdp
1085687 mdp: Python SyntaxWarning
1075279 mlpy: ftbfs with GCC-14 trixie, ftbfs, sid
1092779 mlpy: switch away from cython-legacy
989958 libopencv-*-dev: Missing pkg-config file (.pc) wontfix, upstream
1100979 python3-opencv: please provide typing stubs
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 security, fixed-upstream, 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 upstream, fixed-upstream, security
1104931 pytorch: CVE-2025-4287 security, upstream
1108733 RuntimeError: operator torchvision::nms does not exist
805395 predict.gbm() using single.tree=TRUE does not return the correct predictions with multinomial distribution moreinfo, fixed-upstream
1064922 src:r-cran-gbm: fails to migrate to testing for too long: autopkgtest regression sid, upstream, trixie
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
962712 please add support for x13as

Open bugs in suggested packages

2 normal, 1 minor
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

994423 pytorch: Baseline violation on armhf trixie, ftbfs, experimental, bullseye, sid, bookworm
1008369 scikit-learn: FTBFS: dh_auto_test: error: pybuild --test -i python{version} -p "3.10 3.9" returned exit code 13 ftbfs, moreinfo, trixie, sid, bookworm, 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: Tue, 15 Jul 2025 03:20:16 -0000