fitcecoc with specified Box Contraint and Kernel Scale

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Dylan den Hartog
Dylan den Hartog 2022-1-4
Hello,
I want to create an SVM model for multiclass classification, with specified hyperparameters: BoxContraint = 500 and KernelScale = 0.01
I triend using:
cvpt = cvpartition(Y_train, "kFold", 5);
fitcecoc(X_train,"class", "CVPartition",cvpt, "Coding","onevsone", "BoxContraint", 500, "KernelScale", 0.01)
I get the following error:
Error in classreg.learning.FitTemplate.make (line 124)
temp = fillIfNeeded(temp,type);
Error in classreg.learning.FitTemplate/fillIfNeeded (line 448)
classreg.learning.FitTemplate.make(this.Method,'type',this.Type,...
Error in classreg.learning.FitTemplate.make (line 124)
temp = fillIfNeeded(temp,type);
Error in ClassificationECOC.template (line 111)
temp = classreg.learning.FitTemplate.make('ECOC','type','classification',varargin{:});
Error in ClassificationECOC.fit (line 115)
temp = ClassificationECOC.template(varargin{:});
Error in fitcecoc (line 339)
obj = ClassificationECOC.fit(X,Y,ecocArgs{:});

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