File: control

package info (click to toggle)
libsvm 3.24%2Bds-6
  • links: PTS, VCS
  • area: main
  • in suites: bookworm, bullseye
  • size: 992 kB
  • sloc: java: 3,680; cpp: 3,146; ansic: 2,253; python: 1,270; makefile: 153; sh: 41
file content (103 lines) | stat: -rw-r--r-- 3,186 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
Source: libsvm
Section: devel
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:
    Chen-Tse Tsai <ctse.tsai@gmail.com>,
    Christian Kastner <ckk@debian.org>,
    Michael Hudson-Doyle <mwhudson@debian.org>
Build-Depends:
	debhelper-compat (= 12),
	libtool,
	python3-all:native,
	dh-python,
Build-Depends-Indep:
	default-jdk
Rules-Requires-Root: no
Standards-Version: 4.5.0
Vcs-Browser: https://salsa.debian.org/science-team/libsvm
Vcs-Git: https://salsa.debian.org/science-team/libsvm.git
Homepage: https://www.csie.ntu.edu.tw/~cjlin/libsvm/

Package: libsvm3
Architecture: any
Multi-Arch: same
Section: libs
Depends:
	${shlibs:Depends},
	${misc:Depends}
Description: 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.

Package: libsvm-tools
Architecture: any
Depends:
	${shlibs:Depends},
	${misc:Depends},
	${python3:Depends},
	gnuplot,
	libsvm3 (=${binary:Version})
Description: 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.

Package: libsvm-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends:
	${shlibs:Depends},
	${misc:Depends},
	libsvm3 (=${binary:Version})
Description: 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.

Package: python3-libsvm
Architecture: all
Section: python
Depends:
	libsvm3(>=${binary:Version}),
	libsvm3(<<${binary:Version}.1~),
	${python3:Depends},
	${misc:Depends},
	${shlibs:Depends}
Description: 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.

Package: libsvm3-java
Architecture: all
Multi-Arch: foreign
Section: java
Depends: ${misc:Depends}
Conflicts: libsvm2-java
Suggests: java-virtual-machine
Description: 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.

Package: libsvm-java
Architecture: all
Multi-Arch: foreign
Section: java
Depends:
	libsvm3-java,
	${misc:Depends}
Description: 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.