libsvm 3.24+ds-6ubuntu2 source package in Ubuntu
Changelog
libsvm (3.24+ds-6ubuntu2) noble; urgency=medium * d/control: add java-common to Build-Depends to resolve build failure on platforms other than amd64. libsvm (3.24+ds-6ubuntu1) noble; urgency=medium * d/rules, d/target-source.patch: use java_compat_level variable provided by java-common to adjust -source/-target level to the minimum required by the default Java (LP: #2054242). -- Vladimir Petko <email address hidden> Thu, 22 Feb 2024 16:33:36 +1300
Upload details
- Uploaded by:
- Vladimir Petko
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- devel
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | devel | |
Noble | release | universe | devel |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
libsvm_3.24+ds.orig.tar.xz | 142.6 KiB | fd8fbf3179765dfcfdf949184b4b2c3c1a3a03834549ce48d42cd0269858f8c3 |
libsvm_3.24+ds-6ubuntu2.debian.tar.xz | 17.1 KiB | 6017dcccd64ee88e2deecc463612652aaee49758788485e12a6f14649c376e7d |
libsvm_3.24+ds-6ubuntu2.dsc | 2.3 KiB | b439077c3a578d77635564564c8b1ea5f39fa5b162de3cb14a9df7ad499c22f3 |
Available diffs
Binary packages built by this source
- libsvm-dev: LIBSVM header files
LIBSVM, a machine-learning library, is an easy-to-use package for
support vector classification, regression and one-class SVM. It
supports multi-class classification, probability outputs, and
parameter selection.
.
This package contains the development header files.
- libsvm-java: Java API to support vector machine library (libsvm.jar)
The functionality of the libsvm are offered in a single jar file. It includes
one-class, two-class, multiclass, regression-mode, and probablistic output
functionality.
.
This package solely provides a symbolic link from libsvm.jar libsvm3.jar.
- libsvm-tools: LIBSVM binary tools
LIBSVM is an easy-to-use package for support vector classification,
regression and one-class SVM. It supports multi-class classification,
probability outputs, and parameter selection.
- libsvm-tools-dbgsym: debug symbols for libsvm-tools
- libsvm3: library implementing support vector machines
The LIBSVM library is used to calculate Support Vector Machine optimizations
with a great variety of powerful options. It includes one-class, two-class,
multiclass, regression-mode, and probablistic output functionality. It is
primarily of interest to machine-learning researchers and artificial
intelligence application developers.
- libsvm3-dbgsym: debug symbols for libsvm3
- libsvm3-java: Java API to support vector machine library (libsvm3.jar)
The functionality of the libsvm are offered in a single jar file. It includes
one-class, two-class, multiclass, regression-mode, and probablistic output
functionality.
- python3-libsvm: Python interface for support vector machine library
Python interface for the LIBSVM library using ctypes. This new Python
interface is provided since 2.91, and it is incompatible with the old
one.