# Kernel Ridge Regression using 'RcppArmadillo'

## Documentation for package ‘FastKRR’ version 0.1.0

- DESCRIPTION file.

## Help Pages

FastKRR-package | Kernel Ridge Regression using the 'RcppArmadillo' Package
approx_kernel | Compute low-rank approximations(Nyström, Pivoted Cholesky, RFF)
FastKRR | Kernel Ridge Regression using the 'RcppArmadillo' Package
fastkrr | Fit kernel ridge regression using exact or approximate methods
fit_krr | Fit Kernel Ridge Regression
fit_krr.default | Fit Kernel Ridge Regression
fit_krr.formula | Fit Kernel Ridge Regression
krr_reg | Kernel Ridge Regression
make_kernel | Kernel matrix K construction for given datasets
make_Z | Random Fourier Feature matrix Z construction for given datasets
pred_krr | Predict responses for new data using fitted KRR model
rff_random | Generate random Fourier features parameters
tunable.krr_reg | Expose tunable parameters for 'krr_reg'