Kernel Ridge Regression in Matlab
Version 1.0.0.0 (316 KB) by
Joseph Santarcangelo
Kernel Ridge Regression
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 (2024). Kernel Ridge Regression in Matlab (https://www.mathworks.com/matlabcentral/fileexchange/49989-kernel-ridge-regression-in-matlab), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2015a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Linear Regression >
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Kernel Ridge Regression/
Version | Published | Release Notes | |
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1.0.0.0 |