NAME

       svm-scale - scale data to a restricted range as preprocessing for SVM training

SYNOPSIS

       svm-scale  [  -l  lower  ]  [  -u  upper  ]  [  -y  y_upper  ]  [  -s save_filename ] [ -r
       restore_filename ] datafilename

DESCRIPTION

       svm-scale reads the given datafilename (a training or testing data file  as  specified  in
       svm_train(1) or svm_predict(1) ) and scales all dimensions to the given ranges.

OPTIONS

       -l lower
              lower is the lowest (minimal) value allowed in each dimension.  It defaults to -1.

       -u upper
              upper is the highest (maximal) value allowed in each dimension.  It defaults to 1.

       -y y_lower
              y_lower  is  a  boolean value (0 or 1) indicating whether or not y-values (targets)
              should be scaled.  It defaults to 0.

       -s save_filename
              save_filename indicates the filename to save the scaled data to.

       -r restore_filename
              restore_filename indicates the filename reserved to hold  the  original  (unscaled)
              data in case there is a need to restore.

FILES

       datafilename must be a training or testing dataset.

ENVIRONMENT

       No environment variables.

DIAGNOSTICS

       None documented; see Vapnik et al.

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)