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PEPSI MAX'S 2010 ADVERT.
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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)
