shogun-csharp-modular_1.1.0-6~nd70+1_i386.deb


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Description

shogun-csharp-modular - Large Scale Machine Learning Toolbox

Property Value
Distribution Debian 8 (Jessie)
Repository NeuroDebian Main i386
Package name shogun-csharp-modular
Package version 1.1.0
Package release 6~nd70+1
Package architecture i386
Package type deb
Installed size 7.39 KB
Download size 1.54 MB
Official Mirror neurodebian.ovgu.de
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 modular
csharp package employing swig.

Alternatives

Package Version Architecture Repository
shogun-csharp-modular_1.1.0-6~nd70+1_amd64.deb 1.1.0 amd64 NeuroDebian Main
shogun-csharp-modular - - -

Requires

Name Value
libarpack2 >= 2.1
libatlas3-base -
libc6 >= 2.3.6-6~
libgcc1 >= 1:4.1.1
libglpk0 >= 4.30
libhdf5-7 -
libjson0 >= 0.10
liblzma5 >= 5.1.1alpha+20110809
liblzo2-2 -
libmono-corlib4.0-cil >= 2.10.1
libshogun11 -
libstdc++6 >= 4.1.1
libxml2 >= 2.6.27
neurodebian-popularity-contest -
zlib1g >= 1:1.1.4

Download

Type URL
Binary Package shogun-csharp-modular_1.1.0-6~nd70+1_i386.deb
Source Package shogun

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb http://neurodebian.ovgu.de/debian/ jessie main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver pgp.mit.edu 2649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install shogun-csharp-modular deb package:
    # sudo apt-get install shogun-csharp-modular

See Also

Package Description
shogun-doc-cn_1.1.0-6~nd70+1_all.deb Large Scale Machine Learning Toolbox
shogun-doc-en_1.1.0-6~nd70+1_all.deb Large Scale Machine Learning Toolbox
shogun-elwms-static_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
shogun-java-modular_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
shogun-lua-modular_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
shogun-python-modular_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
shogun-python-static_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
shogun-r-static_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
shogun-ruby-modular_1.1.0-6~nd70+1_i386.deb Large Scale Machine Learning Toolbox
sigviewer_0.5.1+svn556-3~nd80+1_i386.deb GUI viewer for biosignals such as EEG, EMG, and ECG
singularity-container_2.5.2-3~nd80+1_i386.deb container platform focused on supporting "Mobility of Compute"
spm8-common_8.5236~dfsg.1-1~nd70+1_all.deb analysis of brain imaging data sequences
spm8-data_8.5236~dfsg.1-1~nd70+1_all.deb data files for SPM8
spm8-doc_8.5236~dfsg.1-1~nd70+1_all.deb manual for SPM8
spyder_2.2.5+dfsg-1~nd80+1_all.deb python IDE for scientists
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