Nothing
#' @noRd
check_input_forest <- function(error_message,
check_values,
num_trees,
mtry,
max_depth,
min_node_size,
self_predict,
...) {
# this function checks if the input that is specific for tsci_forest
# is in the correct format and the values are valid.
if (!check_values) {
if (!is.numeric(num_trees))
error_message <- paste(error_message, "num_trees is not numeric.", sep = "\n")
if (!is.numeric(mtry) & !is.null(mtry) & !is.list(mtry))
error_message <- paste(error_message, "mtry is not numeric nor (a list of) function(s).", sep = "\n")
if (!is.numeric(max_depth))
error_message <- paste(error_message, "max_depth is not numeric.", sep = "\n")
if (!is.numeric(min_node_size))
error_message <- paste(error_message, "min_node_size is not numeric.", sep = "\n")
if (!is.logical(self_predict))
error_message <- paste(error_message, "self_predict is neither TRUE nor FALSE", sep = "\n")
error_message <- check_input_data_splitting(error_message = error_message,
check_values = check_values,
...)
return(error_message)
} else {
if (any(num_trees < 0))
error_message <- paste(error_message, "num_trees cannot be negative.", sep = "\n")
if (is.numeric(mtry))
if (any(mtry <= 0))
error_message <- paste(error_message, "mtry cannot be negative or larger than
the sum of the number of columns in Z and X.", sep = "\n")
if (any(max_depth < 0))
error_message <- paste(error_message, "max_depth cannot be negative.", sep = "\n")
if (any(min_node_size < 0))
error_message <- paste(error_message, "min_node_size cannot be negative.", sep = "\n")
error_message <- check_input_data_splitting(error_message = error_message,
check_values = check_values,
...)
return(error_message)
}
}
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