Trying to deploy a model developed with the classification learner

2020 5 12
2 个回答
更新时间：2023 3 21
10 次查看（30 天）

0 个投票

Hi
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?
Thx!

1 个评论
显示 -1更早的评论 隐藏 -1更早的评论

Or Shem Tov
Or Shem Tov 2020-5-12
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? :(

请先登录，再进行评论。

请先登录，再回答此问题。

回答（2 个）

0 个投票

Hi,
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:
https://www.mathworks.com/help/stats/export-classification-model-for-use-with-new-data.html
Hope this helps you figure out the issue!

2 个评论
显示 无 隐藏 无

Or Shem Tov
Or Shem Tov 2020-5-15
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;
Great, I can see this is the issue with test data format being different from train data then.

请先登录，再进行评论。

Ushtar Arshad
Ushtar Arshad 2022-3-7

0 个投票

Unable to resolve the name trainedModel.predictFcn?

2 个评论
显示 无 隐藏 无

JIKUI ZHAO
JIKUI ZHAO 2022-10-22
I have the same issue when import testdata for prediction
aikaterini vraka
aikaterini vraka 2023-3-21
I had the same issue and it turns out I needed to run the function before
[trainedClassifier, validationAccuracy] = trainClassifier(trainingData);

请先登录，再进行评论。

类别

在 帮助中心 和 File Exchange 中查找有关 Classification 的更多信息

产品

版本

R2020a

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by