SVM Grid Search
The main function svm_grid_search, preforms a grid search using the following parameters: name of the kernel to be used, values for the kernel, values for the boxconstraint, and values for the kktviolatonlevel level. It gives as output array with the trained SVMs, array showing if a SVM was not able to be trained (converge), and the accuracy for the train, validation and test sets. The function is easy to upgrade and mode.
You can use structures for I/O (in svm_grid_search_structure), or the standard way with listing all the variables (in svm_grid_search). For me the use of structures is more elegant, when having to pass a lot of the same variables between function, and it is easier to mode.
Cite As
Dian Bahnev (2024). SVM Grid Search (https://www.mathworks.com/matlabcentral/fileexchange/50869-svm-grid-search), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.