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svm-subset(1) | User Manuals | svm-subset(1) |
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¶
- 0
- -- stratified selection (classification only) (default)
- 1
- -- random selection
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¶
DEC 2009 | Linux |