I am using the following script in MatlabR2015a:
CVO = cvpartition(y2,'k',10);
C=zeros(96,1)
for i = 1:CVO.NumTestSets
trIdx = CVO.training(i);
teIdx = CVO.test(i);
mdl = fitcnb(x1(trIdx, :),y2(trIdx, :),'Distribution', 'kernel')
[label, Posterior] = predict(mdl,x1(teIdx, :))
C(teIdx)=Posterior (:,2);
end
[X,Y,T,AUC] = perfcurve(y2,C,'true','NBoot', 1000); % Curva ROC para os dados de teste do crossval
c1=round(C);
CMat=confusionmat(y1,c1);
How can I save in my workspace the model from each iteration?
Many Thanks,
Elizabeth Vieira

 採用された回答

Star Strider
Star Strider 2016 年 1 月 21 日

0 投票

You can save it as a cell array (note the curly brackets ‘{}’):
mdl{i} = fitcnb(x1(trIdx, :),y2(trIdx, :),'Distribution', 'kernel');
If you want to save the ‘mdl’ cell array after the loop, use the save function to save it to a .mat file. See the documentation for save for details.

3 件のコメント

Stephen23
Stephen23 2016 年 1 月 21 日
Note that it is also recommended to preallocate cell arrays.
Elizabeth Vieira
Elizabeth Vieira 2016 年 1 月 22 日
Many thanks!
Star Strider
Star Strider 2016 年 1 月 22 日
My pleasure!

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