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
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Quantal
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- science
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
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
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.