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% 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}{(\link{Learner} | \code{character(1)})\cr
The learner.
If you pass a string the learner will be created via \link{makeLearner}.}
\item{dw.perc}{(\code{numeric(1)})\cr
See \link{downsample}.
Default is 1.}
\item{dw.stratify}{(\code{logical(1)})\cr
See \link{downsample}.
Default is \code{FALSE}.}
}
\value{
\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{makeClassificationViaRegressionWrapper}()},
\code{\link{makeConstantClassWrapper}()},
\code{\link{makeCostSensClassifWrapper}()},
\code{\link{makeCostSensRegrWrapper}()},
\code{\link{makeDummyFeaturesWrapper}()},
\code{\link{makeExtractFDAFeatsWrapper}()},
\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{makePreprocWrapper}()},
\code{\link{makePreprocWrapperCaret}()},
\code{\link{makeRemoveConstantFeaturesWrapper}()},
\code{\link{makeSMOTEWrapper}()},
\code{\link{makeTuneWrapper}()},
\code{\link{makeUndersampleWrapper}()},
\code{\link{makeWeightedClassesWrapper}()}
}
\concept{downsample}
\concept{wrapper}
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