svm-landscape(1)
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
