cens = compact(ens)
a compact version of
cens = compact(
ens. You can predict classifications
cens exactly as you can using
cens does not contain training data,
you cannot perform some actions, such as cross validation.
A classification ensemble created with
A compact classification ensemble.
Compare the size of a classification ensemble for Fisher's iris data to the compact version of the ensemble:
load fisheriris ens = fitensemble(meas,species,'AdaBoostM2',100,'Tree'); cens = compact(ens); b = whos('ens'); % b.bytes = size of ens c = whos('cens'); % c.bytes = size of ens [b.bytes c.bytes] % shows cens uses less memory ans = 571727 532476