Ubuntu
shogun package

shogun 0.10.0-2.1ubuntu1 source package in Ubuntu

Changelog

shogun (0.10.0-2.1ubuntu1) oneiric; urgency=low

  * Build for python2.7.
  * Build-depend on doxygen-latex.

shogun (0.10.0-2.1) unstable; urgency=low

  * Non-maintainer upload.
  * Apply upstream patch to fix FTBFS with new gcc (closes: #625115).  Thanks,
    Sebastian Ramacher!

shogun (0.10.0-2) unstable; urgency=low

  * Upload to unstable.

shogun (0.10.0-1) experimental; urgency=low

  * New upstream version with major feature enhancements.
    - Fix build with ld --as-needed thanks Matthias Klose
      for the patch. (Closes:  #606018)
    - Cherry pick patches from upstream svn-trunk to fix build failure.
 -- Matthias Klose <email address hidden>   Tue, 20 Sep 2011 13:07:03 +0200

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Oneiric
Original maintainer:
Soeren Sonnenburg
Architectures:
any
Section:
science
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
shogun_0.10.0.orig.tar.gz 3.1 MiB 1815445601b5b2d3af0f3418b5416017ee3768bc941e976ce7b3a5c3e5856a2d
shogun_0.10.0-2.1ubuntu1.debian.tar.gz 19.8 KiB 87cf18b838607fe49277165b86c82d19e8761fca3a0ba8f094b223e2d4e554e9
shogun_0.10.0-2.1ubuntu1.dsc 1.8 KiB 4ebae62c2a487356aba425daa61423c3319bb2df98ca3c11db2303fbbf967f97

Available diffs

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Binary packages built by this source

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

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libshogun9: No summary available for libshogun9 in ubuntu precise.

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

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libshogunui6: No summary available for libshogunui6 in ubuntu oneiric.

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shogun-cmdline: No summary available for shogun-cmdline in ubuntu oneiric.

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shogun-dbg: No summary available for shogun-dbg in ubuntu oneiric.

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shogun-doc-cn: No summary available for shogun-doc-cn in ubuntu oneiric.

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shogun-doc-en: Large Scale Machine Learning Toolbox

 SHOGUN - is a new machine learning toolbox with focus on large scale kernel
 methods and especially on Support Vector Machines (SVM) with focus to
 bioinformatics. It provides a generic SVM object interfacing to several
 different SVM implementations. Each of the SVMs can be combined with a variety
 of the many kernels implemented. It can deal with weighted linear combination
 of a number of sub-kernels, each of which not necessarily working on the same
 domain, where an optimal sub-kernel weighting can be learned using Multiple
 Kernel Learning. Apart from SVM 2-class classification and regression
 problems, a number of linear methods like Linear Discriminant Analysis (LDA),
 Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to
 train hidden markov models are implemented. The input feature-objects can be
 dense, sparse or strings and of type int/short/double/char and can be
 converted into different feature types. Chains of preprocessors (e.g.
 substracting the mean) can be attached to each feature object allowing for
 on-the-fly pre-processing.
 .
 SHOGUN comes in different flavours, a stand-a-lone version and also with
 interfaces to Matlab(tm), R, Octave, Readline and Python. This is the English
 user and developer documentation.

shogun-elwms: No summary available for shogun-elwms in ubuntu oneiric.

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shogun-octave: No summary available for shogun-octave in ubuntu oneiric.

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shogun-octave-modular: No summary available for shogun-octave-modular in ubuntu oneiric.

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shogun-python: No summary available for shogun-python in ubuntu precise.

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shogun-python-modular: No summary available for shogun-python-modular in ubuntu oneiric.

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