classificationSVM and fitcsvm error for SVM model
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I am getting this error while trying to train SVM model
Error using ClassificationSVM (line 249)
Use fitcsvm to train an SVM model.
Error in multisvm (line 29)
classes = ClassificationSVM(svmStruct,tst);
Error in DetectDisease_GUI>pushbutton6_Callback (line 326)
result = multisvm(Train_Feat,Train_Label,test);
Error in gui_mainfcn (line 95)
feval(varargin{:});
Error in DetectDisease_GUI (line 41)
gui_mainfcn(gui_State, varargin{:});
Error in
matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)DetectDisease_GUI('pushbutton6_Callback',hObject,eventdata,guidata(hObject))
Error while evaluating UIControl Callback.
Can anyone help me to resolve this errors!
Réponses (2)
Abhirami Manikandan
le 17 Juin 2020
0 votes
Machine Learning
Functionality Being Removed or Changed
classregtree has been removed
svmtrain and svmclassify have been removed
The svmtrain and svmclassify functions have been removed. Use the fitcsvm function and the predict function of ClassificationSVM instead.To update your code, replace all instances of svmtrain with fitcsvm, and replace all instances of svmclassify with predict. For more details, see the Compatibility Considerations sections of svmtrain and svmclassify
4 commentaires
Warid Islam
le 19 Juin 2020
SVMmodel=fitcsvm(Training,class);
result = ClassificationSVM(SVMmodel, TestSet);
Error using ClassificationSVM (line 249)
Use fitcsvm to train an SVM model.
Hi @Abhirami,
I used fitcsvm for training but still i get the same error message.
Walter Roberson
le 19 Juin 2020
SVMmodel = fitcsvm(Training,class);
result = predict(SVMmodel, TestSet);
Now compare result to the known targets for TestSet in order to determine performance metrics.
Warid Islam
le 19 Juin 2020
Hi Walter,
It worked perfectly now. Thanks a lot.
Yusuf Suer Erdem
le 6 Oct 2020
Thanks Walter, you helped a lot.
Thanks Warid as well.
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