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
- The subset. If output1 is omitted, the subset will be printed on the screen.
- output1
- 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 <[email protected]>, Chen-Tse Tsai <[email protected]> (packaging)