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GNU/Linux |
Debian 7.2.0(Wheezy) |
amd64 |
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svm-subset(1) |
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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
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0 |
-- stratified selection (classification only) (default) | ||
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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 <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging)
svm-train(1), svm-predict(1)
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svm-subset(1) | |