Command line interface to fda-landscape in mlpy (version 2.2.0)
fda-landscape [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
-m MIN, --min=MIN
min value for regularization parameter [default -10]
-M MAX, --max=MAX
max value for regularization parameter [default 10]
-p STEPS, --steps=STEPS
steps for regularization parameter [default 21]
-e SCALE, --scale=SCALE
scale for regularization parameter: 'lin' or 'log' [default log]
-l, --lists
Canberra distance indicator