param

param.default

<code>"param()"</code> is a generic S3 function that displays (and invisibly returns)
model hyperparameters. Methods are provided for <code>"krr"</code> objects.

Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation that identifies competitive hyperparameters without exhaustive grid search. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refer to Wainwright (2019) <doi:10.1017/9781108627771>.

Kwan-Young Bak

FastKRR

Kernel Ridge Regression using 'RcppArmadillo'

Gyeongmin Kim

Seyoung Lee

Miyoung Jang

param function

<dl><dt>x</dt>
<dd>An object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd></dl>

Arguments

Extract/print hyperparameters of fitted models — param

<dl>

<dt>x</dt>
<dd>An object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>

</dl>

param: Extract/print hyperparameters of fitted models

Description

Usage

Value

Arguments