libsvm 3.1-1 source package in Ubuntu

Changelog

libsvm (3.1-1) unstable; urgency=low
  
  * New upstream release.
  * Removed the versioned name of directory under /usr/include/
  	since different version of libsvm-dev cannot be co-installed. (Closes: #608851)

libsvm (3.0-1) unstable; urgency=low
  
  [Chen-Tse Tsai]
  * New upstream release.
    - Moved the model structure to svm.h and changed the function
      which destroys the model.
    - Added description warns that the new python interface 
      is incompatible with the previous version 2. (Closes: #594251)
  [Steffen Moeller]
  * Changed to source format 3.0 (quilt).
  * Allowing repeated invocations of dpkg-buildpackage
 -- Ubuntu Archive Auto-Sync <email address hidden>   Sat,  30 Apr 2011 13:10:59 +0000

Upload details

Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Oneiric
Original maintainer:
Chen-Tse Tsai
Architectures:
any
Section:
devel
Urgency:
Low Urgency

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File Size SHA-256 Checksum
libsvm_3.1.orig.tar.gz 599.7 KiB 30dda4abb45ae1d070b4932ac53bcaeb2d0821704d0fb6231190572bbf677450
libsvm_3.1-1.diff.gz 9.2 KiB 948ed679f8164fedfbb0226b235ac44a6e23f7b34f7f000ab949d4e2dd4a46d0
libsvm_3.1-1.dsc 1.2 KiB e0b7b4b51ff713e3bbcae0a817feb94e41eee2f44e990935cce6face08a462a1

Available diffs

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Binary packages built by this source

libsvm-dev: No summary available for libsvm-dev in ubuntu oneiric.

No description available for libsvm-dev in ubuntu oneiric.

libsvm-java: Java API to support vector machine library

 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 svm.jar svm3.jar.

libsvm-tools: The 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 homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm

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-java: No summary available for libsvm3-java in ubuntu oneiric.

No description available for libsvm3-java in ubuntu oneiric.

python-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.