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Failed to Call Classification Learner's Testing Function

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I was using a Matlab R2015b's Classification Learner Toolbox. I was successful in importing file data and export it into an Export Model, and i got a structure named trainedClassifier.
Import process #1
Import process #2
Training process with PCA implemented & Multi Class SVM (One vs All validation)
trainedClassifier variable generated from ToolBox
fetureVector variable which used for testing
yfit = trainedClassifier.predictFcn(featureVector)
After it, i want to doing a test with a new data with this code (i got this code from here ) :
>> yfit = trainedClassifier.predictFcn(featureVector)
Then i got an error output as a follows :
Function 'subsindex' is not defined for values of class 'cell'.
Error in mlearnapp.internal.model.DatasetSpecification>@(t)t(:,predictorNames) (line 135)
extractPredictorsFromTableFcn = @(t) t(:,predictorNames);
Error in mlearnapp.internal.model.DatasetSpecification>@(x)extractPredictorsFromTableFcn(splitMatricesInTableFcn(convertMatrixToTableFcn(x)))
(line 136)
extractPredictorsFcn = @(x) extractPredictorsFromTableFcn(splitMatricesInTableFcn(convertMatrixToTableFcn(x)));
Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableClassifier.predictFcn(extractPredictorsFcn(x)) (line 137)
exportableClassifier.predictFcn = @(x) exportableClassifier.predictFcn(extractPredictorsFcn(x));
What is the problem and solutions?
Thanks in advance.
PAVITHRA S on 2 Mar 2020
i tried the above code to test my trained network(classiification learner app). i am unable to execute the code
VarNames = arrayfun(@(N) sprintf('VarName%d',N), 1:512, 'Uniform', 0);
FV_table = array2table( featureVector, 'VariableNames', VarNames);
yfit = trainedClassifier.predictFcn(FV_table)
can u suggest me a solution to test.
Mrutyunjaya Hiremath
Mrutyunjaya Hiremath on 12 Apr 2020
'testingData.xlsx' contains only 512 colums feature vector of tesing data or matrix of N X 512.
testingData = xlsread('testingData.xlsx');
yFit = trainedClassifier.predictFcn(testingData);

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Accepted Answer

Walter Roberson
Walter Roberson on 9 Apr 2016
You have
yfit = trainedClassifier.predictFcn(featureVector)
and my reading just now suggest that perhaps needs to be
yfit = predict(trainedClassifier, featureVector)
The error message indicates that something is trying to be indexed using a cell array as a subscript, which is a valid indexing method for tables but not an indexing method for a double array.

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More Answers (2)

naishi feng
naishi feng on 6 Jun 2017
it works!!thanks!!!

Jingwei Too
Jingwei Too on 23 Jul 2020

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