dlda-landscape(1) Command line interface to dlda-landscape in mlpy (version 2.2.0)


dlda-landscape [,options/]


-h, --help
show this help message and exit
-d FILE, --data=,FILE/
data - required
-n, --normalize
normalize data
-s, --standardize
standardize data
-k K
k for k-fold cross validation
sets and pairs for monte carlo cross validation
-S, --stratified
for stratified cv
-v, --verbose
print partial results every resampling step
-m MIN, --min=,MIN/
min value for nf parameter [default 1]
-M MAX, --max=,MAX/
max value for nf parameter [default 10]
-p STEPS, --steps=,STEPS/
amplitude of steps for nf parameter [default 1]
-l, --lists
Canberra distance indicator
-a, --auc
wmw_auc indicator
-b, --bal
parameter of DLDA classifier refering to the balancement of training and test sets