fitcecoc with specified Box Contraint and Kernel Scale

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{:});