NAME

       svm-subset - a subset selection tool for LIBSVM

SYNOPSIS

       svm-subset [ -s method ] dataset number [ output1 ] [ output2 ]

DESCRIPTION

       Training  large  data  is  time  consuming.  Sometimes one should work on a smaller subset
       first. The python script subset.py randomly selects a specified  number  of  samples.  For
       classification  data,  we  provide  a  stratified  selection  to  ensure  the  same  class
       distribution in the subset.

OPTIONS

       -s method

       0      -- stratified selection (classification only) (default)

       1      -- random selection

       output1
              The subset. If output1 is omitted, the subset will be printed on the screen.

       output2
              The rest of data.

FILES

       See svm-train(1) for the format of dataset

EXAMPLES

              svm-subset heart_scale 100 file1 file2

       From heart_scale 100 samples are randomly selected and  stored  in  file1.  All  remaining
       instances are stored in file2.

BUGS

       Please report bugs to the Debian BTS.

AUTHOR

       Chih-Chung     Chang,     Chih-Jen     Lin    <cjlin@csie.ntu.edu.tw>,    Chen-Tse    Tsai
       <ctse.tsai@gmail.com> (packaging)

SEE ALSO

       svm-train(1), svm-predict(1)