svm-subset
Section: User Manuals (1)
Updated: DEC 2009
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NAME
svm-subset - a subset selection tool for LIBSVM
SYNOPSIS
svm-subset [ -s
method
]
dataset number
[
output1
] [
output2
]
DESCRIPTION
Training large data is time consuming. Sometimes one should work on a
smaller subset first. The python script subset.py randomly selects a
specified number of samples. For classification data, we provide a
stratified selection to ensure the same class distribution in the
subset.
OPTIONS
- -s method
-
- 0
-
--
stratified selection (classification only) (default)
- 1
-
--
random selection
- output1
-
-
The subset. If output1 is omitted, the subset will be printed on the screen.
- output2
-
The rest of data.
FILES
See
svm-train(1)
for the format of
dataset
EXAMPLES
-
svm-subset heart_scale 100 file1 file2
From heart_scale 100 samples are randomly selected and stored in
file1. All remaining instances are stored in file2.
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
-
- EXAMPLES
-
- BUGS
-
- AUTHOR
-
- SEE ALSO
-
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