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svm-subset
Langue: en
Version: DEC 2009 (ubuntu - 24/10/10)
Section: 1 (Commandes utilisateur)
NAME
svm-subset - a subset selection tool for LIBSVMSYNOPSIS
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 datasetEXAMPLES
- 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)Contenus ©2006-2024 Benjamin Poulain
Design ©2006-2024 Maxime Vantorre