SVM-LANDSCAPE(1)						   User Commands						  SVM-LANDSCAPE(1)

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

mlpy								     July 2010							  SVM-LANDSCAPE(1)