Optimization Code Gradient Descent
2 views (last 30 days)
Show older comments
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));
1 Comment
Mario Malic
on 26 Jul 2020
This is a great place to start! mathworks.com/help/stats/bayesian-optimization-workflow.html
Answers (1)
Rajani Mishra
on 29 Jul 2020
Along with the link mentioned in the comment, you can also have a look at below mentioned links:
0 Comments
See Also
Categories
Find more on Problem-Based Optimization Setup in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!