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       shogun -  A Large Scale Machine Learning Toolbox


       shogun [options]


       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.


       A summary of options is included below.

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

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

              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).

              shogun was written by Soeren Sonnenburg <> and
              Gunnar Raetsch <>

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

                                         August  1, 2007                                SHOGUN(5)