NAME

       svm-landscape - Command line interface to svm-landscape in mlpy (version 2.2.0)

SYNOPSIS

       svm-landscape [options]

OPTIONS

       -h, --help
              show this help message and exit

       -d FILE, --data=FILE
              data - required

       -s, --standardize
              standardize data

       -n, --normalize
              normalize data

       -k K   k for k-fold cross validation

       -c SETS PAIRS
              sets and pairs for monte carlo cross validation

       -S, --stratified
              for stratified cv

       -K KERNEL, --kernel=KERNEL
              kernel: 'linear', 'gaussian', 'polynomial', 'tr' [default linear]

       -P KPARAMETER, --kparameter=KPARAMETER
              kernel  parameter  (two sigma squared) for gaussian and polynomial kernels [default
              0.1]

       -o COST, --cost=COST
              for cost-sensitive classification [-1.0, 1.0] [default 0.0]

       -m MIN, --min=MIN
              min value for regularization parameter [default -5]

       -M MAX, --max=MAX
              max value for regularization parameter [default 5]

       -p STEPS, --steps=STEPS
              steps for regularization parameter [default 11]

       -e SCALE, --scale=SCALE
              scale for regularization parameter: 'lin' or 'log' [default log]

       -l, --lists
              Canberra distance indicator

       -a, --auc
              Wmw_auc metric computation