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svm-scale

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, Rudi Cilibrasi <cilibrar AT cilibrar DOT com> (packaging), and Chih-Jen Lin <cjlin AT csie DOT ntu DOT edu DOT tw>

SEE ALSO

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

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