41 lines
1.6 KiB
R
41 lines
1.6 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/regressionComponents.R
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\name{MeanResponseCombiner}
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\alias{MeanResponseCombiner}
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\title{MeanResponseCombiner}
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\usage{
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MeanResponseCombiner()
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}
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\value{
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A response combiner object to be used in \code{\link{train}}; not
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useful on its own. However, internally, a response combiner object is a
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list consisting of the following objects:
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\describe{
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\item{\code{javaObject}}{The java object used in the algorithm}
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\item{\code{call}}{The call (used in \code{print})}
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\item{\code{outputClass}}{The R class of the outputs; used in \code{\link{predict.JRandomForest}}}
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\item{\code{convertToRFunction}}{An R function that converts a Java prediction from the combiner into R output that is readable by a user.}
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}
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}
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\description{
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This response combiner is used in regression random forests, where the
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response in the data is a single number that needs to be averaged in each
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terminal node, and then averaged across trees. This response combiner is
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appropriate as an argument for both the \code{nodeResponseCombiner} and
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\code{forestResponseCombiner} parameters in \code{\link{train}} when doing
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regression.
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}
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\examples{
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responseCombiner <- MeanResponseCombiner()
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# You would then use it in train()
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# However; I'll show an internal Java method to make it clear what it does
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# Note that you should never have to do the following
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x <- 1:3
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x <- convertRListToJava(Numeric(x))
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# will output a Java object containing 2
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output <- rJava::.jcall(responseCombiner$javaObject, "Ljava/lang/Double;", "combine", x)
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responseCombiner$convertToRFunction(output)
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}
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