37 lines
1.5 KiB
R
37 lines
1.5 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{WeightedVarianceSplitFinder}
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\alias{WeightedVarianceSplitFinder}
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\title{WeightedVarianceSplitFinder}
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\usage{
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WeightedVarianceSplitFinder()
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}
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\value{
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A split finder object to be used in \code{\link{train}}; not useful
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on its own.
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}
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\description{
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This split finder is used in regression random forests. When a split is made,
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this finder computes the sample variance in each group (divided by n, not
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n-1); it then minimizes the sum of these variances, each of them weighted by
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their sample size divided by the total sample size of that node.
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}
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\note{
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There are other split finders that are used in regression random
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forests that are not included in this package. This package is oriented
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toward the competing risks side of survival analysis; the regression
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options are provided as an example of how extensible the back-end Java
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package is. If you are interested in using this package for regression (or
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other uses), feel free to write your own components. It's not too hard to
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write these components; the WeightedVarianceSplitFinder Java class is quite
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short; most of the code is to reuse calculations from previous considered
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splits. I (the author) am also willing to assist if you have any questions.
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}
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\examples{
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splitFinder <- WeightedVarianceSplitFinder()
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# You would then use it in train()
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}
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\references{
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https://kogalur.github.io/randomForestSRC/theory.html#section8.3
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}
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