Optimization Code Gradient Descent

Kindly explain the theory behind this code...

Mdl = fitcnb(Trainingset,KindsofLabels,'ClassNames',{'FirstChoice','SecondChoice'},'OptimizeHyperparameters','auto',...% updating model by parameter optimization
     'HyperparameterOptimizationOptions',struct('AcquisitionFunctionName',...
     'expected-improvement-plus','MaxTime',15,'ShowPlots',1,'Verbose',0));

[Mario Malic]

This is a great place to start! mathworks.com/help/stats/bayesian-optimization-workflow.html

Answer 1

[Rajani Mishra]

Along with the link mentioned in the comment, you can also have a look at below mentioned links:

• https://www.mathworks.com/help/stats/classificationnaivebayes-class.html#property_d0e141114
• https://www.mathworks.com/help/stats/classification-naive-bayes.html?s_tid=CRUX_lftnav
• https://www.mathworks.com/help/stats/fitcnb.html