Kernel Ridge Regression using 'RcppArmadillo'

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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'