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# -------------------------------------------------------------------------------
# This file is part of 'diversityForest'.
#
# 'diversityForest' is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# 'diversityForest' is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with 'diversityForest'. If not, see <http://www.gnu.org/licenses/>.
#
# NOTE: 'diversityForest' is a fork of the popular R package 'ranger', written by Marvin N. Wright.
# Most R and C++ code is identical with that of 'ranger'. The package 'diversityForest'
# was written by taking the original 'ranger' code and making any
# changes necessary to implement diversity forests.
#
# -------------------------------------------------------------------------------
# Author: Marvin N. Wright
holdoutRF <- function(...) {
## Get data from arguments
args <- list(...)
if ("data" %in% names(args)) {
data <- args$data
} else {
data <- args[[2]]
}
## Split data
if ("gwaa.data" %in% class(data)) {
n <- nrow(data@phdata)
} else {
n <- nrow(data)
}
weights <- rbinom(n, 1, 0.5)
## Check args
if ("case.weights" %in% names(args)) {
stop("Error: Argument 'case.weights' not supported in holdoutRF.")
}
if ("holdout" %in% names(args)) {
stop("Error: Argument 'holdout' not supported in holdoutRF.")
}
if ("importance" %in% names(args)) {
stop("Error: Argument 'importance' not supported in holdoutRF. Always set to 'permutation'.")
}
if ("replace" %in% names(args)) {
stop("Error: Argument 'replace' not supported in holdoutRF.")
}
## Grow RFs
res <- list(
rf1 = divfor(..., importance = "permutation",
case.weights = weights, replace = FALSE, holdout = TRUE),
rf2 = divfor(..., importance = "permutation",
case.weights = 1-weights, replace = FALSE, holdout = TRUE)
)
## Compute importance
res$variable.importance <- (res$rf1$variable.importance + res$rf2$variable.importance)/2
res$treetype <- res$rf1$treetype
res$importance.mode <- res$rf1$importance.mode
class(res) <- "holdoutRF"
res
}
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