|
|
|
|
svm-scale(1) User Manuals svm-scale(1) 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) Linux MAY 2006 svm-scale(1)
