svm-subset1
A subset selection tool for libsvm
Usage
svm-subset [-s
method]
dataset
number
[output1]
[output2]
Overview
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.
Releases
Unchanged in 8 releases since Debian 6.0 (Squeeze).