Kernel Ridge Regression using 'RcppArmadillo'

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Documentation for package ‘FastKRR’ version 0.2.1

• DESCRIPTION file.

Help Pages

FastKRR-package	Kernel Ridge Regression using the 'RcppArmadillo' Package
approx_kernel	Compute low-rank approximations (Nyström, Pivoted Cholesky, RFF)
coef.krr	Extract Model Coefficients from a Fitted KRR Model
error	Compute Model Error for Kernel Ridge Regression Models
error.krr	Compute Model Error for Kernel Ridge Regression Models
FastKRR	Kernel Ridge Regression using the 'RcppArmadillo' Package
fastkrr	Fit kernel ridge regression using exact or approximate methods
krr_reg	Kernel Ridge Regression
make_kernel	Kernel matrix construction for given datasets
param.krr	Displays hyperparameters of fitted Kernel Ridge Regression models
plot.krr	Plot method for fitted Kernel Ridge Regression models
predict.krr	Predict responses for new data using fitted KRR model
print.approx_kernel	Print method for approximated kernel matrices
print.krr	Print method for fitted Kernel Ridge Regression models
summary.krr	Summary method for fitted Kernel Ridge Regression models
tunable.krr_reg	Expose tunable parameters for '"krr_reg"'