svm-scale
Section: User Manuals (1)
Updated: MAY 2006
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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)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- OPTIONS
-
- FILES
-
- ENVIRONMENT
-
- DIAGNOSTICS
-
- BUGS
-
- AUTHOR
-
- SEE ALSO
-
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