shogun-ruby-modular - Large Scale Machine Learning Toolbox

Property Value
Distribution Debian 8 (Jessie)
Repository NeuroDebian Main amd64
Package name shogun-ruby-modular
Package version 1.1.0
Package release 6~nd70+1
Package architecture amd64
Package type deb
Installed size 8.76 KB
Download size 1.88 MB
Official Mirror
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
ruby package employing swig.


Package Version Architecture Repository
shogun-ruby-modular_1.1.0-6~nd70+1_i386.deb 1.1.0 i386 NeuroDebian Main
shogun-ruby-modular - - -


Name Value
libarpack2 >= 2.1
libatlas3-base -
libc6 >= 2.2.5
libgcc1 >= 1:4.1.1
libglpk0 >= 4.30
libhdf5-7 -
libjson0 >= 0.10
liblzma5 >= 5.1.1alpha+20110809
liblzo2-2 -
libruby1.9.1 >=
libshogun11 = 1.1.0-6~nd70+1
libstdc++6 >= 4.1.1
libxml2 >= 2.6.27
neurodebian-popularity-contest -
zlib1g >= 1:1.1.4


Type URL
Binary Package shogun-ruby-modular_1.1.0-6~nd70+1_amd64.deb
Source Package shogun

Install Howto

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

See Also

Package Description
sigviewer_0.5.1+svn556-3~nd80+1_amd64.deb GUI viewer for biosignals such as EEG, EMG, and ECG
singularity-container_2.5.2-3~nd80+1_amd64.deb container platform focused on supporting "Mobility of Compute"
solar-eclipse_8.1.1+git0-g8f32b4b-1~nd80+1_amd64.deb genetic variance components analysis software
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
spykeviewer_0.4.4-1~nd80+1_all.deb graphical utility for analyzing electrophysiological data
stabilitycalc_0.1-1~nd70+1_all.deb evaluate fMRI scanner stability
stimfit_0.15.4-1~nd80+1_amd64.deb Program for viewing and analyzing electrophysiological data
svgtune_0.1.0-1~nd70+1_all.deb tool to generate a set of .svg files out of a single .svg file
tar-scripts_1.29b-1.1~nd80+1_amd64.deb optional scripts for GNU version of the tar archiving utility
tar_1.29b-1.1~nd80+1_amd64.deb GNU version of the tar archiving utility
tcl-vtk_5.8.0-7+b0~nd70+1_amd64.deb Tcl bindings for VTK
testkraut_0.0.1-1~nd70+1_all.deb test and evaluate heterogeneous data processing pipelines