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Trying to deploy a model developed with the classification learner

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Trying to deploy a model here I developed using the classification learner..
I'm trying to use:
>> yfit = trainedClassifier.predictFcn(T2)
Unable to resolve the name trainedClassifier.predictFcn.
Doesn't work, any ideas?
  1 Comment
Or Shem Tov
Or Shem Tov on 12 May 2020
I also tried now to export the model and use this:
yfit = trainedModel.predictFcn(T2)
Error using classreg.learning.internal.table2PredictMatrix>makeXMatrix (line 97)
Table variable IssuerTier is not a valid predictor.
Error in classreg.learning.internal.table2PredictMatrix (line 47)
Xout = makeXMatrix(X,CategoricalPredictors,vrange,pnames);
Error in classreg.learning.classif.CompactClassificationEnsemble/score (line 79)
X = classreg.learning.internal.table2PredictMatrix(X,[],[],...
Error in classreg.learning.classif.CompactClassificationEnsemble/predict (line 159)
scores = score(this,X,varargin{:});
Error in mlearnapp.internal.model.adapterlayer.TrainedClassificationEnsemble>@(x)predict(ClassificationEnsemble,x) (line 50)
functionHandle = @(x) predict(ClassificationEnsemble, x);
Error in mlearnapp.internal.model.transformation.TrainedManualFeatureSelection>@(x)decoratedPredictFunction(featureSelectionFunction(x)) (line 66)
functionHandle = @(x) decoratedPredictFunction(featureSelectionFunction(x));
Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableModel.predictFcn(predictorExtractionFcn(x)) (line 187)
newExportableModel.predictFcn = @(x) exportableModel.predictFcn(predictorExtractionFcn(x));
Lemme just see that 'IssuerTier' is in the training dataset AND in the new data set, I wonder why it would say 'not a valid predictor'
help? :(

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Answers (2)

Harsha Priya Daggubati
Harsha Priya Daggubati on 15 May 2020
I assume your model is saved as trainedClassifier from Classification Learner Application. I suggest making sure whether the trainedClassifier object is successfully saved in your workspace and has the function predictFcn. Make sure the test data is similar in structure to the training data.
You can refer to the following link for step-wise explaination:
Hope this helps you figure out the issue!
Or Shem Tov
Or Shem Tov on 15 May 2020
Thx for the answer.
Turns out the thing was that 2 of my columns were classified as categorical on the model but imported from the csv file as text, had to change that and it was up and running.
I used this code to solve the problem:
T = readtable('mydata.csv');
T.Column1 = categorical(T.Column1);
T.Column2 = categorical(T.Column2);
predictions = trainedModel.predictFcn(T);
T.predictions = predictions;
Harsha Priya Daggubati
Harsha Priya Daggubati on 15 May 2020
Great, I can see this is the issue with test data format being different from train data then.

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Ushtar Arshad
Ushtar Arshad on 7 Mar 2022
Unable to resolve the name trainedModel.predictFcn?
aikaterini vraka
aikaterini vraka on 21 Mar 2023
I had the same issue and it turns out I needed to run the function before
[trainedClassifier, validationAccuracy] = trainClassifier(trainingData);

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