Skip to content

Fits kernel ridge regression models using the Python sklearn.kernel_ridge.KernelRidge class to estimate a kernel ridge regression of a dependent variable on one or more independent variables with specified model hyperparameters, or selection of hyperparameter values over a specified grid of values via crossvalidation by also using the sklearn.mo…

License

Notifications You must be signed in to change notification settings

IBMPredictiveAnalytics/krr

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Kernel Ridge Regression

Summary

Fits kernel ridge regression models using Python sklearn classes.

Desctription

Fits kernel ridge regression models using the Python sklearn.kernel_ridge.KernelRidge class to estimate a kernel ridge regression of a dependent variable on one or more independent variables with specified model hyperparameters, or selection of hyperparameter values over a specified grid of values via crossvalidation by also using the sklearn.model_selection.GridSearchCV class.

About

Fits kernel ridge regression models using the Python sklearn.kernel_ridge.KernelRidge class to estimate a kernel ridge regression of a dependent variable on one or more independent variables with specified model hyperparameters, or selection of hyperparameter values over a specified grid of values via crossvalidation by also using the sklearn.mo…

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages