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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MxPenalty.R
\name{mxPenaltyRidge}
\alias{mxPenaltyRidge}
\title{mxPenaltyRidge}
\usage{
mxPenaltyRidge(
what,
name,
lambda = 0,
lambda.step = 0.01,
lambda.max = 0.4,
lambda.min = NA,
epsilon = 1e-05,
scale = 1,
...,
hyperparams = c("lambda")
)
}
\arguments{
\item{what}{A character vector of parameters to regularize}
\item{name}{Name of the regularizer object}
\item{lambda}{strength of the penalty to be applied at start (default 0)}
\item{lambda.step}{lambda step during penalty search (default 0.01)}
\item{lambda.max}{when to end the lambda search (default 0.4)}
\item{lambda.min}{minimum lambda value (default lambda)}
\item{epsilon}{how close to zero is zero?}
\item{scale}{a given parameter is divided by \code{scale} before comparison with \code{epsilon}}
\item{...}{Not used. Forces remaining arguments to be specified by name}
\item{hyperparams}{a character vector of hyperparameter names}
}
\description{
Ridge regression regularization
}
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