Cross-validated model parameters extraction in fitcecoc SVM linear kernel

Hi,

I am trying to extract the parameters from the cross-validated model of fitcecoc SVM with linear kernel. I want to extract the parameters which I could use for training and testing. I tried to look into the model but I could not find the bias/beta etc.

mdl = fitcecoc(Xs,Y,'Coding','onevsall','Learners',t);

CVMDL = crossval(mdl, 'kfold',5);

Error = kfoldLoss(CVMDL)

Answer 1

[Sulaymon Eshkabilov]

You should use these fcns instead of crossval:

kfoldPredict(), predict(), resubPredict()

See for more info: https://www.mathworks.com/help/stats/classreg.learning.partition.classificationpartitionedkernel.kfoldpredict.html

[AMIR KHAN]

I want to use the parameters from the cross validated model. I want to fix these parameters to my model. Then I want to train my model on whole train set. Finally, test the trained model using test set.