libsvm 3.24+ds-6ubuntu1 source package in Ubuntu

Changelog

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>  Mon, 19 Feb 2024 10:34:10 +1300

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Uploaded by:
Vladimir Petko
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
devel
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
libsvm_3.24+ds.orig.tar.xz 142.6 KiB fd8fbf3179765dfcfdf949184b4b2c3c1a3a03834549ce48d42cd0269858f8c3
libsvm_3.24+ds-6ubuntu1.debian.tar.xz 17.0 KiB d45ebac8082aee754298dc3cfec7be9de57bc890fce7e4b59f94be92540a3040
libsvm_3.24+ds-6ubuntu1.dsc 2.3 KiB d7c003b00c9157e837cb5361cfcba56325a56bd7742f80a30bc2a734e2000b6a

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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.