https://github.com/berndbischl/mlr
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Tip revision: 2fd339b359e367de5c26888c5b4bbe05fe5d41ef authored by pfistfl on 11 April 2018, 15:19:41 UTC
Add basic tests
Tip revision: 2fd339b
estimateResidualVariance.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/estimateResidualVariance.R
\name{estimateResidualVariance}
\alias{estimateResidualVariance}
\title{Estimate the residual variance.}
\usage{
estimateResidualVariance(x, task, data, target)
}
\arguments{
\item{x}{(\link{Learner} or \link{WrappedModel})\cr
Learner or wrapped model.}

\item{task}{(\link{RegrTask})\cr
Regression task.
If missing, \code{data} and \code{target} must be supplied.}

\item{data}{(\link{data.frame})\cr
A data frame containing the features and target variable.
If missing, \code{task} must be supplied.}

\item{target}{(\code{character(1)})\cr
Name of the target variable.
If missing, \code{task} must be supplied.}
}
\description{
Estimate the residual variance of a regression model on a given task.
If a regression learner is provided instead of a model, the model is
trained (see \link{train}) first.
}
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