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)

                                            2019-01-07                              heri-split(1)