NAME

       shogun -  A Large Scale Machine Learning Toolbox

SYNOPSIS

       shogun [options]

DESCRIPTION

       This manual page briefly documents the readline interface of shogun

       Shogun  is a large scale 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.

OPTIONS

       A summary of options is included below.

       -h, --help, /?
              Show summary of options.

       -i     listen on tcp port 7367 (hex of sg)

       filename
              execute a script by reading commands from file <filename>

       when no options are given the interactive readline interface will be entered

       SEE ALSO
              svm-train(1), svm-predict(1).  svm-scale(1).

       AUTHOR
              shogun was written by Soeren Sonnenburg <Soeren.Sonnenburg@first.fraunhofer.de> and Gunnar Raetsch
              <Gunnar.Raetsch@tuebingen.mpg.de>

       This manual page was written by Soeren Sonnenburg <sonne@debian.org>, for the Debian project (but may  be
       used by others).

                                                 August  1, 2007                                       SHOGUN(5)