FastRidge - fast ridge regression
This submission implements a ridge regression tool that works efficiently even if the number of predictors (p) is greater than the number of samples (n). Additionally, it implements:
* Search for optimal regularisation parameter using minimum message length and corrected AIC
* Generate regularisation paths
* Fit models with specified regularisation parameters or specified degrees-of-freedom
Citation pour cette source
Statovic (2024). FastRidge - fast ridge regression (https://www.mathworks.com/matlabcentral/fileexchange/54143-fastridge-fast-ridge-regression), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Linear Regression >
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Version | Publié le | Notes de version | |
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1.3.0.0 | Removed superfluous reference from the file. |
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1.2.0.0 | Updated example script to include several additional examples. |
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1.1.0.0 | Included the diabetes dataset for the example script. |
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1.0.0.0 |