libsvm 3.24+ds-6 source package in Ubuntu
Changelog
libsvm (3.24+ds-6) unstable; urgency=medium
* d/test/control: Add python3-all to python-simple's Depends:
(Closes: #972533)
* d/control: Add myself to Uploaders.
-- Michael Hudson-Doyle <email address hidden> Thu, 22 Oct 2020 08:22:16 +1300
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- devel
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Mantic | release | universe | devel | |
| Lunar | release | universe | devel | |
| Jammy | release | universe | devel |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| libsvm_3.24+ds-6.dsc | 2.4 KiB | 878fbd4e85e1c053766b0ed0fa766f40b1164002cff3eb6320a482f02e5f1edc |
| libsvm_3.24+ds.orig.tar.xz | 142.6 KiB | fd8fbf3179765dfcfdf949184b4b2c3c1a3a03834549ce48d42cd0269858f8c3 |
| libsvm_3.24+ds-6.debian.tar.xz | 16.8 KiB | 38046825264d4c46c0c0e5468c098043283237744213da52ee1796af230b5189 |
Available diffs
- diff from 3.24+ds-4 to 3.24+ds-6 (1.1 KiB)
No changes file available.
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: No summary available for libsvm-java in ubuntu kinetic.
No description available for libsvm-java in ubuntu kinetic.
- 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: No summary available for libsvm-tools-dbgsym in ubuntu kinetic.
No description available for libsvm-tools-dbgsym in ubuntu kinetic.
- 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.
