svm-subset (1)

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 <[email protected]>, Chen-Tse Tsai <[email protected]> (packaging)

svm-train(1), svm-predict(1)