Manual Reference Pages  - svm-subset (1)

NAME

svm-subset - a subset selection tool for LIBSVM

CONTENTS

Synopsis
Description
Options
Files
Examples
Bugs
Author

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)


Linux svm-subset (1) DEC 2009
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