Provided by: libsvm-tools_3.21+ds-1.2_amd64
svm-subset - a subset selection tool for LIBSVM
svm-subset [ -s method ] dataset number [ output1 ] [ output2 ]
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.
-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.
See svm-train(1) for the format of dataset
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.
Please report bugs to the Debian BTS.
Chih-Chung Chang, Chih-Jen Lin <firstname.lastname@example.org>, Chen-Tse Tsai <email@example.com> (packaging)