This is the command svm-landscape that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
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
Use svm-landscape online using onworks.net services
