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svm-landscape
Langue: en
Version: May 2010 (ubuntu - 24/10/10)
Section: 1 (Commandes utilisateur)
NAME
svm-landscape - Command line interface to svm-landscape in mlpy (version 2.1.0)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
Contenus ©2006-2024 Benjamin Poulain
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