[R] [doc] remove documentation index entries for internal functions (#9477)
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@ -142,6 +142,7 @@ xgb.ggplot.shap.summary <- function(data, shap_contrib = NULL, features = NULL,
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#'
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#' @return A data.table containing the observation ID, the feature name, the
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#' feature value (normalized if specified), and the SHAP contribution value.
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#' @noRd
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prepare.ggplot.shap.data <- function(data_list, normalize = FALSE) {
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data <- data_list[["data"]]
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shap_contrib <- data_list[["shap_contrib"]]
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@ -170,6 +171,7 @@ prepare.ggplot.shap.data <- function(data_list, normalize = FALSE) {
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#' @param x Numeric vector
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#'
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#' @return Numeric vector with mean 0 and sd 1.
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#' @noRd
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normalize <- function(x) {
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loc <- mean(x, na.rm = TRUE)
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scale <- stats::sd(x, na.rm = TRUE)
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@ -1,18 +0,0 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.ggplot.R
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\name{normalize}
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\alias{normalize}
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\title{Scale feature value to have mean 0, standard deviation 1}
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\usage{
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normalize(x)
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}
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\arguments{
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\item{x}{Numeric vector}
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}
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\value{
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Numeric vector with mean 0 and sd 1.
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}
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\description{
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This is used to compare multiple features on the same plot.
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Internal utility function
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}
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@ -1,27 +0,0 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/xgb.ggplot.R
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\name{prepare.ggplot.shap.data}
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\alias{prepare.ggplot.shap.data}
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\title{Combine and melt feature values and SHAP contributions for sample
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observations.}
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\usage{
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prepare.ggplot.shap.data(data_list, normalize = FALSE)
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}
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\arguments{
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\item{data_list}{List containing 'data' and 'shap_contrib' returned by
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\code{xgb.shap.data()}.}
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\item{normalize}{Whether to standardize feature values to have mean 0 and
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standard deviation 1 (useful for comparing multiple features on the same
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plot). Default \code{FALSE}.}
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}
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\value{
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A data.table containing the observation ID, the feature name, the
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feature value (normalized if specified), and the SHAP contribution value.
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}
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\description{
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Conforms to data format required for ggplot functions.
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}
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\details{
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Internal utility function.
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}
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