MATLAB: How to find the parameters in discriminant learner of ensemble classification

machine learning classificationMATLABStatistics and Machine Learning Toolbox

I am using the classification app to decode some information. I extracted code and found the following parameters gave me a good accuracy.
classificationEnsemble = fitcensemble(...
    predictors, ...
    response, ...
    'Method', 'Subspace', ...
    'NumLearningCycles', 30, ...
    'Learners', 'discriminant', ...
    'NPredToSample', subspaceDimension, ...
    'ClassNames', [1; 2; 3; 4]);
I know that there are many different discriminant type such as linear or quadratic. And there are hyperparameters such as delta and gamma. (https://www.mathworks.com/help/stats/templatediscriminant.html)
I would like to know how can I find the exact settings of the discriminant learner in the model generated by above code. Thank you very much!

Best Answer

The property
classificationEnsemble.Trained
Contains the 30 individual Disciminant models that make up your ensemble. You can look at their parameters indviidually, for example:
classificationEnsemble.Trained{1}.Mu
Tip: you can call 'help' on an object to see all the properties and methods on it. In this case, it shows that there's a Trained property:
help classificationEnsemble
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