Getting problem in exporting model from Matlab Classification App

I made a model of Logistic Regression which has 4 inputs and 2 outputs '0' and '1'. I am having trouble in exporting the model to predict new data. my input is

T={67.753 67.395 67.122 67.938} 
yfit = trainedModel.predictFcn(T)

and Output

exporting_model

T =

    1×4 cell array

      [67.7530]    [67.3950]    [67.1220]    [67.9380]

Function 'subsindex' is not defined for values of class 'cell'.

Error in mlearnapp.internal.model.DatasetSpecification>@(t)t(:,predictorNames) (line 163)
                extractPredictorsFromTableFcn = @(t) t(:,predictorNames);

Error in mlearnapp.internal.model.DatasetSpecification>@(x)extractPredictorsFromTableFcn(splitMatricesInTableFcn(x))
(line 164)
                predictorExtractionFcn = @(x) extractPredictorsFromTableFcn(splitMatricesInTableFcn(x));

Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableModel.predictFcn(predictorExtractionFcn(x)) (line
167)
            newExportableModel.predictFcn = @(x) exportableModel.predictFcn(predictorExtractionFcn(x));

Error in exporting_model (line 2)
yfit = trainedModel.predictFcn(T)

Please help me with it

Answer 1

[Walter Roberson]

T = [67.753 67.395 67.122 67.938]

[Prachi Suryawanshi]

No I tried it before. It is not working either. Can you give me some commands which I can use to predict new data with the model that I have exported.

Answer 2

[naishi feng]

have u solved ur problem?i meet the same problem too,can u help me?thank u!!!!

[Prachi Suryawanshi]

Yes, I did it. The problem was with the input. I gave the input as an .xlsx file using readtable("abc.xlsx") command and yes, do mention the name of the variable on the top row. I hope it will work for you too.

[Aziz Al-Abdali]

Sorry but what did mean by mentioning the name of the variable on the top row? can you elaborate that please? Thanks in advance

[jiahui cai]

Thank you very much!!