New documentation rewording
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@@ -69,7 +69,7 @@ get.paths.to.leaf <- function(dt.tree) {
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#' @importFrom data.table setnames
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#' @importFrom data.table :=
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#' @importFrom magrittr %>%
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#' @param model dump generated by the \code{xgb.train} function. Avoid the creation of a dump file.
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#' @param model dump generated by the \code{xgb.train} function.
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#'
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#' @return Two graphs showing the distribution of the model deepness.
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#'
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@@ -86,7 +86,7 @@ get.paths.to.leaf <- function(dt.tree) {
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#'
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#' \itemize{
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#' \item Count: number of leaf per level of deepness;
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#' \item Weighted cover: noramlized weighted cover per Leaf (weighted number of instances).
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#' \item Weighted cover: noramlized weighted cover per leaf (weighted number of instances).
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#' }
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#'
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#' This function is inspired by the blog post \url{http://aysent.github.io/2015/11/08/random-forest-leaf-visualization.html}
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