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This code implements Kernel Ridge Regression, just run main.m, there is also a function to generate some polynomial toy data and randomly partition the data into training and validation data. Create a KernelRidgeRegression object and generate predictions . Kernels used include linear, polynomial RBF and SAM.
Cite As
Joseph Santarcangelo (2026). Kernel Ridge Regression in Matlab (https://www.mathworks.com/matlabcentral/fileexchange/49989-kernel-ridge-regression-in-matlab), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (316 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
