You must pass X as a floating-point matrix.

Question

Warid Islam 2021-1-6

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https://ww2.mathworks.cn/matlabcentral/answers/709838-you-must-pass-x-as-a-floating-point-matrix

评论： Warid Islam 2021-1-8

I am building a GUI to classify breast images. I am using SVM as the classifier technique. However, I am getting an error message. Please find my code an the error message below. Any help would be appreciated.

File=handles.File;
InputImage=handles.InputImage;
TestSet=InputImage;
Labels = table2array(File);
Training=Labels(1:2004,1:9);
class=Labels(:,10);
SVMmodel= fitcsvm(Training, class, 'KernelFunction', 'Linear', 'Standardize', true, 'ClassNames', {'1', '2'});
result = predict(SVMmodel, TestSet);
result=num2str(result);

The error message is displayed below:

Error using classreg.learning.impl.CompactSVMImpl/score (line 45)

You must pass X as a floating-point matrix.

Error in classreg.learning.classif.CompactClassificationSVM/score (line 591)

f = score(this.Impl,X,true,varargin{:});

Error in classreg.learning.classif.ClassificationModel/predict (line 411)

scores = score(this,X,varargin{:});

Error in classreg.learning.classif.CompactClassificationSVM/predict (line 433)

predict@classreg.learning.classif.ClassificationModel(this,X,varargin{:});

Error in new>pushbutton4_Callback (line 143)

result = predict(SVMmodel, TestSet);

Error in gui_mainfcn (line 95)

feval(varargin{:});

Error in new (line 42)

gui_mainfcn(gui_State, varargin{:});

Error in matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)new('pushbutton4_Callback',hObject,eventdata,guidata(hObject))

Error while evaluating UIControl Callback.

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Athrey Ranjith Krishnanunni 2021-1-6

From the documentation for predict, it says that the syntax is

predict(Mdl,X)

where X is the predictor data, and should be a numeric array.

In your case, X is TestSet, so try running

whos('TestSet')

in the command line to see what comes up under the Size and Class headings.

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Answer 1

Ive J 2021-1-6

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/709838-you-must-pass-x-as-a-floating-point-matrix#answer_592048

Your TestSet must have the same structure as your Training set. You can try this

result = predict(SVMmodel, Labels(:, 1:9));

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Walter Roberson 2021-1-7

The return value from predict is labels in the same format as they were input to ficsvm. Your two labels are {'1', '2'} so you get a cell array of labels returned.

Consider changing the {'1', '2'} to be {'Malignant', 'Benign'} and then you would not have to do the if .

Warid Islam 2021-1-8