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