File: makeCustomResampledMeasure.Rd

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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Measure_custom_resampled.R
\name{makeCustomResampledMeasure}
\alias{makeCustomResampledMeasure}
\title{Construct your own resampled performance measure.}
\usage{
makeCustomResampledMeasure(
  measure.id,
  aggregation.id,
  minimize = TRUE,
  properties = character(0L),
  fun,
  extra.args = list(),
  best = NULL,
  worst = NULL,
  measure.name = measure.id,
  aggregation.name = aggregation.id,
  note = ""
)
}
\arguments{
\item{measure.id}{(\code{character(1)})\cr
Short name of measure.}

\item{aggregation.id}{(\code{character(1)})\cr
Short name of aggregation.}

\item{minimize}{(\code{logical(1)})\cr
Should the measure be minimized?
Default is \code{TRUE}.}

\item{properties}{(\link{character})\cr
Set of measure properties. For a list of values see \link{Measure}.
Default is \code{character(0)}.}

\item{fun}{(\verb{function(task, group, pred, extra.args)})\cr
Calculates performance value from \link{ResamplePrediction} object. For rare
cases you can also use the task, the grouping or the extra arguments
\code{extra.args}.
- \code{task} (\link{Task})\cr
The task.
- \code{group} (\link{factor})\cr
Grouping of resampling iterations. This encodes whether specific
iterations 'belong together' (e.g. repeated CV).
- \code{pred} (\link{Prediction})\cr
Prediction object.
- \code{extra.args} (\link{list})\cr
See below.}

\item{extra.args}{(\link{list})\cr
List of extra arguments which will always be passed to \code{fun}.
Default is empty list.}

\item{best}{(\code{numeric(1)})\cr
Best obtainable value for measure.
Default is -\code{Inf} or \code{Inf}, depending on \code{minimize}.}

\item{worst}{(\code{numeric(1)})\cr
Worst obtainable value for measure.
Default is \code{Inf} or -\code{Inf}, depending on \code{minimize}.}

\item{measure.name}{(\code{character(1)})\cr
Long name of measure.
Default is \code{measure.id}.}

\item{aggregation.name}{(\code{character(1)})\cr
Long name of the aggregation.
Default is \code{aggregation.id}.}

\item{note}{(\link{character}) \cr
Description and additional notes for the measure. Default is \dQuote{}.}
}
\value{
\link{Measure}.
}
\description{
Construct your own performance measure, used after resampling. Note that
individual training / test set performance values will be set to \code{NA}, you
only calculate an aggregated value. If you can define a function that makes
sense for every single training / test set, implement your own \link{Measure}.
}
\seealso{
Other performance: 
\code{\link{ConfusionMatrix}},
\code{\link{calculateConfusionMatrix}()},
\code{\link{calculateROCMeasures}()},
\code{\link{estimateRelativeOverfitting}()},
\code{\link{makeCostMeasure}()},
\code{\link{makeMeasure}()},
\code{\link{measures}},
\code{\link{performance}()},
\code{\link{setAggregation}()},
\code{\link{setMeasurePars}()}
}
\concept{performance}