how to produce different ensemble object by bag algorithm

1 vue (au cours des 30 derniers jours)

Amend le 20 Mai 2015

Clôturé : MATLAB Answer Bot le 20 Août 2021

Using fitensemble(X,y,'bag',NLearn, Learners) can produce an ensemble object. Changing Learners can obtain different objects. So I use

tmp=templateTree('MaxNumSplits',10);
ens=fitensemble(X,y,'bag',100,tmp,'type','regression');

I got error message: 'MaxNumSplits is not a valid parameter name'. Where do I make mistake?

What are the common ways that can produce different ensembles in bag method?

Cette question est clôturée.

Cette question est clôturée.

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by