NAME

heri-split - splits the dataset into training and testing sets

SYNOPSIS

heri-split [OPTIONS] dataset1 [dataset2...]

DESCRIPTION

heri-split splits the dataset into several training and testing sets as it is required for N-fold cross-validation. Dataset contains one object per line as in svmlight format. By default stratified sampling is used. That is, all folds contain the same number of objects for each label.

OPTIONS

-h, --help

Display help information.

-c, --folds count

Set the number of folds. This is a mandatory option.

-d, --output-dir dir

Set the output directory. This is a mandatory option.

-r,--random

Use random sampling instead of stratified one.

-s, --seed seed

Set the seed value for pseudorandom generator.

HOME

<http://github.com/cheusov/herisvm>

SEE ALSO

heri-eval(1) heri-stat(1)