heri-split(1)

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)