% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/DownsampleWrapper.R
\name{makeDownsampleWrapper}
\alias{makeDownsampleWrapper}
\title{Fuse learner with simple downsampling (subsampling).}
\usage{
makeDownsampleWrapper(learner, dw.perc = 1, dw.stratify = FALSE)
}
\arguments{
\item{learner}{[\code{\link{Learner}} | \code{character(1)}]\cr
The learner.
If you pass a string the learner will be created via \code{\link{makeLearner}}.}

\item{dw.perc}{[\code{numeric(1)}]\cr
See \code{\link{downsample}}.
Default is 1.}

\item{dw.stratify}{[\code{logical(1)}]\cr
See \code{\link{downsample}}.
Default is \code{FALSE}.}
}
\value{
[\code{\link{Learner}}].
}
\description{
Creates a learner object, which can be
used like any other learner object.
It will only be trained on a subset of the original data to save computational time.
}
\seealso{
Other downsample: \code{\link{downsample}}

Other wrapper: \code{\link{makeBaggingWrapper}},
  \code{\link{makeConstantClassWrapper}},
  \code{\link{makeCostSensClassifWrapper}},
  \code{\link{makeCostSensRegrWrapper}},
  \code{\link{makeFeatSelWrapper}},
  \code{\link{makeFilterWrapper}},
  \code{\link{makeImputeWrapper}},
  \code{\link{makeMulticlassWrapper}},
  \code{\link{makeMultilabelBinaryRelevanceWrapper}},
  \code{\link{makeMultilabelClassifierChainsWrapper}},
  \code{\link{makeMultilabelDBRWrapper}},
  \code{\link{makeMultilabelNestedStackingWrapper}},
  \code{\link{makeMultilabelStackingWrapper}},
  \code{\link{makeOverBaggingWrapper}},
  \code{\link{makePreprocWrapperCaret}},
  \code{\link{makePreprocWrapper}},
  \code{\link{makeRemoveConstantFeaturesWrapper}},
  \code{\link{makeSMOTEWrapper}},
  \code{\link{makeTuneWrapper}},
  \code{\link{makeUndersampleWrapper}},
  \code{\link{makeWeightedClassesWrapper}}
}
