How can I use a model exported from classification learner to make a prediction?

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Betzalel Fialkoff
Betzalel Fialkoff 2018-3-25
回答： Billy Ram 2022-3-15
So I've trained a model and exported it to my workspace however i get an error when i try to use it to make a prediction. I've tried two forms, one as instructed by matlab, and the 2nd according to this answer
https://www.mathworks.com/matlabcentral/answers/264459-failed-to-call-classification-learner-s-testing-function
first attempt: my code is
m1.predictFcn(featureVec)
and i get an error
Error using array2table (line 62)
The VariableNames property must contain one name for each variable in the table.
Error in mlearnapp.internal.model.DatasetSpecification>@(x)array2table(x','VariableNames',this.PredictorNames)
Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableClassifier.predictFcn(predictorExtractionFcn(x)) (line 138)
newExportableClassifier.predictFcn = @(x) exportableClassifier.predictFcn(predictorExtractionFcn(x));
2nd attempt
VarNames = arrayfun(@(N) sprintf('VarName%d',N), 1:4, 'Uniform', 0);
FV_table = array2table( featureVector, 'VariableNames', {'a','b','c','d'});
yfit = m1.predictFcn(featureVector)
and this time the error is
Error using array2table (line 62)
The VariableNames property must contain one name for each variable in the table.
Error in mlearnapp.internal.model.DatasetSpecification>@(x)array2table(x','VariableNames',this.PredictorNames)
Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableClassifier.predictFcn(predictorExtractionFcn(x)) (line 138)
newExportableClassifier.predictFcn = @(x) exportableClassifier.predictFcn(predictorExtractionFcn(x));

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回答（1 个）

Billy Ram
Billy Ram 2022-3-15
I might be very late in answering this question. I had the same problem and was looking for answers. Make sure that you don't have the supervised class column in your test data.

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