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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

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