Provided by: herisvm_0.8.2-1_all
heri-split - splits the dataset into training and testing sets
heri-split [OPTIONS] dataset1 [dataset2...]
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.
-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.
heri-eval(1) heri-stat(1) 2019-01-07 heri-split(1)