.\" DO NOT MODIFY THIS FILE!  It was generated by help2man 1.41.2.
.TH SVM-LANDSCAPE "1" "May 2013" "mlpy" "User Commands"
.SH NAME
svm-landscape \- Command line interface to svm-landscape in mlpy (version 2.2.0)
.SH SYNOPSIS
.B svm-landscape
[\fIoptions\fR]
.SH OPTIONS
.TP
\fB\-h\fR, \fB\-\-help\fR
show this help message and exit
.TP
\fB\-d\fR FILE, \fB\-\-data\fR=\fIFILE\fR
data \- required
.TP
\fB\-s\fR, \fB\-\-standardize\fR
standardize data
.TP
\fB\-n\fR, \fB\-\-normalize\fR
normalize data
.TP
\fB\-k\fR K
k for k\-fold cross validation
.TP
\fB\-c\fR SETS PAIRS
sets and pairs for monte carlo cross validation
.TP
\fB\-S\fR, \fB\-\-stratified\fR
for stratified cv
.TP
\fB\-K\fR KERNEL, \fB\-\-kernel\fR=\fIKERNEL\fR
kernel: 'linear', 'gaussian', 'polynomial', 'tr'
[default linear]
.TP
\fB\-P\fR KPARAMETER, \fB\-\-kparameter\fR=\fIKPARAMETER\fR
kernel parameter (two sigma squared) for gaussian and
polynomial kernels [default 0.1]
.TP
\fB\-o\fR COST, \fB\-\-cost\fR=\fICOST\fR
for cost\-sensitive classification [\-1.0, 1.0] [default
0.0]
.TP
\fB\-m\fR MIN, \fB\-\-min\fR=\fIMIN\fR
min value for regularization parameter [default \fB\-5]\fR
.TP
\fB\-M\fR MAX, \fB\-\-max\fR=\fIMAX\fR
max value for regularization parameter [default 5]
.TP
\fB\-p\fR STEPS, \fB\-\-steps\fR=\fISTEPS\fR
steps for regularization parameter [default 11]
.TP
\fB\-e\fR SCALE, \fB\-\-scale\fR=\fISCALE\fR
scale for regularization parameter: 'lin' or 'log'
[default log]
.TP
\fB\-l\fR, \fB\-\-lists\fR
Canberra distance indicator
.TP
\fB\-a\fR, \fB\-\-auc\fR
Wmw_auc metric computation