shogun 1.1.0-4ubuntu6 source package in Ubuntu

Changelog

shogun (1.1.0-4ubuntu6) quantal; urgency=low

  * Use the default jdk for the build.
 -- Matthias Klose <email address hidden>   Wed, 12 Sep 2012 13:50:25 +0200

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Uploaded by:
Matthias Klose
Uploaded to:
Quantal
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Low Urgency

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File Size SHA-256 Checksum
shogun_1.1.0.orig.tar.gz 3.8 MiB 1497d4ada2c5db8b8419f0f7040c0507d0462708d727ba01296d7ee4e4eb474a
shogun_1.1.0-4ubuntu6.debian.tar.gz 18.8 KiB dee1be415b1463a08c0f896e3c5bfb73d78fbdd17c0fb1c6c6015038f721ae47
shogun_1.1.0-4ubuntu6.dsc 2.5 KiB 5aef1b545d4302aa6a54756cdacb9e64f48813241d455bd17459d6154eaefb79

Available diffs

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Binary packages built by this source

libshogun-dev: 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 package
 includes the developer files required to create stand-a-lone executables.

libshogun11: No summary available for libshogun11 in ubuntu raring.

No description available for libshogun11 in ubuntu raring.

shogun-cmdline-static: 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 Readline
 package.

shogun-csharp-modular: No summary available for shogun-csharp-modular in ubuntu saucy.

No description available for shogun-csharp-modular in ubuntu saucy.

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

No description available for shogun-dbg in ubuntu saucy.

shogun-doc-cn: 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
 Chinese user and developer documentation.

shogun-doc-en: No summary available for shogun-doc-en in ubuntu raring.

No description available for shogun-doc-en in ubuntu raring.

shogun-elwms-static: No summary available for shogun-elwms-static in ubuntu quantal.

No description available for shogun-elwms-static in ubuntu quantal.

shogun-java-modular: No summary available for shogun-java-modular in ubuntu saucy.

No description available for shogun-java-modular in ubuntu saucy.

shogun-lua-modular: No summary available for shogun-lua-modular in ubuntu saucy.

No description available for shogun-lua-modular in ubuntu saucy.

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

No description available for shogun-python-modular in ubuntu raring.

shogun-python-static: No summary available for shogun-python-static in ubuntu quantal.

No description available for shogun-python-static in ubuntu quantal.

shogun-r-static: No summary available for shogun-r-static in ubuntu trusty.

No description available for shogun-r-static in ubuntu trusty.

shogun-ruby-modular: No summary available for shogun-ruby-modular in ubuntu saucy.

No description available for shogun-ruby-modular in ubuntu saucy.