SVM classification weight fitcsvm

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Hi,

I am training a linear SVM classifier:

cvFolds = crossvalind('Kfold', labels, nrFolds);
for i = 1:nrFolds                            % iteratre through each fold
    testIdx = (cvFolds == i);                % indices of test instances
    trainIdx = ~testIdx;                     % indices training instances
      % train the SVM
      % 'OptimizeHyperparameters','auto'
      cl = fitcsvm(features(trainIdx,:), labels(trainIdx),'KernelFunction',kernel,'Standardize',true,...
      'BoxConstraint',C,'ClassNames',[0,1], 'Solver', solver);
      [labelPred,scores] =  predict(cl, features(testIdx,:));
      eq = sum(labelPred==labels(testIdx));
      accuracy(i) = eq/numel(labels(testIdx));
end

As is obvious, the trained SVM model is stored in cl. Checking the model parameters in cl I do not see which parameters correspond to classifier weight - feedback much appreciated.