RobustBoost Binary Learner - Which Binary Learner to pick when using RobustBoost for Multiclass Problems (predict(fitececoc(...

2 vues (au cours des 30 derniers jours)
Hello everybody, since I try to use the "predict" function with my built fitcecoc model
tTree = templateTree('surrogate','on');
t = templateEnsemble('RobustBoost',300,tTree,'RobustErrorGoal',0.15);
result=sum(cTest~=predict(fitcecoc(fTrain,cTrain,'Coding','onevsall','Learners',t,'Type', 'Classification','Options',options),fTest));
The error code tells me to pick a BinaryLoss Function. On this page: http://de.mathworks.com/help/stats/compactclassificationecoc.predict.html however there is no suggestion for the ROBUSTBOOST algorithm. Does anybody know which one is suitable? (I think, but I am not sure at all!, that it should be a non-convex one)
Thanks everybody!

Réponses (0)

Catégories

En savoir plus sur Model Predictive Control Toolbox dans Help Center et File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by