'naivebayes' learner option fails when optimizing hyper-parameters for 'fitcecoc' function.
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I am attempting to optimize a multi-class classifier. The classifier uses a (187 x 20) predictor matrix and a (187 x 1) categorical label vector (6 possible categories labeld 1 through 6). I am trying to run the optimization as follows:
Mdl = fitcecoc(predictorMat, labelVec, 'Learners', 'naivebayes', 'OptimizeHyperparameters','all',...
'HyperparameterOptimizationOptions',struct('AcquisitionFunctionName',...
'expected-improvement-plus', 'MaxObjectiveEvaluations', 10, 'UseParallel', ...
true, 'Kfold', 5));
This returns the following error:
Error using classreg.learning.paramoptim.BayesoptInfoCECOC/templateFromLearnersArg (line 127)
Optimizing hyperparameters for fitcecoc with learner type 'naivebayes' is not supported.
Error in classreg.learning.paramoptim.BayesoptInfoCECOC/getWeakLearnerTemplate (line 63)
Template = templateFromLearnersArg(this, LearnersArg);
Error in classreg.learning.paramoptim.BayesoptInfoCECOC (line 29)
this.WeakLearnerTemplate = getWeakLearnerTemplate(this, FitFunctionArgs);
Error in classreg.learning.paramoptim.BayesoptInfo.makeBayesoptInfo (line 127)
Obj = ConstructorFcn(Predictors, Response, FitFunctionArgs);
Error in classreg.learning.paramoptim.fitoptimizing (line 17)
BOInfo = classreg.learning.paramoptim.BayesoptInfo.makeBayesoptInfo(FitFunctionName, Predictors, Response, FitFunctionArgs);
Error in fitcecoc (line 283)
[obj, OptimResults] = classreg.learning.paramoptim.fitoptimizing('fitcecoc',X,Y,varargin{:});
This is odd since the expected hyper-parameter optimization behavior of 'fitceoc' with 'naivebayes' learners is described in the function's docs (see the Hyperparameter Optimization section about 3/4 of the way down that doc: https://www.mathworks.com/help/stats/fitcecoc.html). Moreover, in the code above changing the leaerner to 'svm' (or any of the other learner types such as 'knn' or 'kernel') goes through the optimization as expected. I am trying this on Matlab 2021a. Thanks for any help.
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Don Mathis
2021-8-10
It's true that Naive Bayes is not supported for optimization via fitcecoc. But since Naive Bayes is already a multiclass classifier, you can optimize it by itself:
Mdl = fitcnb(X,Y, 'OptimizeHyperparameters','all',...
'HyperparameterOptimizationOptions',struct('AcquisitionFunctionName',...
'expected-improvement-plus', 'MaxObjectiveEvaluations', 10, 'UseParallel', ...
true, 'Kfold', 5));
2 个评论
Alan Weiss
2021-8-11
Indeed, we are now aware of the documentation problem and will fix it. Sorry for misleading you, and causing you to waste your time.
Alan Weiss
MATLAB mathematical toolbox documentation
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