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

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

       Please report bugs to the Debian BTS.

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.

       None documented; see Vapnik et al.

       No environment variables.

datafilename must be a training or testing dataset.

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

       -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.

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

Linux                                               MAY 2006                                        svm-scale(1)

svm-scale[-llower][-uupper][-yy_upper][-ssave_filename][-rrestore_filename]datafilename