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Add Github Action for R. (#5911)

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* Fix lintr errors.
This commit is contained in:
Jiaming Yuan
2020-07-20 19:23:36 +08:00
committed by GitHub
parent b3d2e7644a
commit 8b1afce316
33 changed files with 589 additions and 544 deletions
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28
R-package/R/xgb.dump.R
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@@ -1,15 +1,15 @@
#' Dump an xgboost model in text format.
#'
#'
#' Dump an xgboost model in text format.
#'
#'
#' @param model the model object.
#' @param fname the name of the text file where to save the model text dump.
#' @param fname the name of the text file where to save the model text dump.
#' If not provided or set to \code{NULL}, the model is returned as a \code{character} vector.
#' @param fmap feature map file representing feature types.
#' Detailed description could be found at
#' Detailed description could be found at
#' \url{https://github.com/dmlc/xgboost/wiki/Binary-Classification#dump-model}.
#' See demo/ for walkthrough example in R, and
#' \url{https://github.com/dmlc/xgboost/blob/master/demo/data/featmap.txt}
#' \url{https://github.com/dmlc/xgboost/blob/master/demo/data/featmap.txt}
#' for example Format.
#' @param with_stats whether to dump some additional statistics about the splits.
#' When this option is on, the model dump contains two additional values:
@@ -27,18 +27,18 @@
#' data(agaricus.test, package='xgboost')
#' train <- agaricus.train
#' test <- agaricus.test
#' bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
#' bst <- xgboost(data = train$data, label = train$label, max_depth = 2,
#' eta = 1, nthread = 2, nrounds = 2, objective = "binary:logistic")
#' # save the model in file 'xgb.model.dump'
#' dump_path = file.path(tempdir(), 'model.dump')
#' xgb.dump(bst, dump_path, with_stats = TRUE)
#'
#'
#' # print the model without saving it to a file
#' print(xgb.dump(bst, with_stats = TRUE))
#'
#'
#' # print in JSON format:
#' cat(xgb.dump(bst, with_stats = TRUE, dump_format='json'))
#'
#'
#' @export
xgb.dump <- function(model, fname = NULL, fmap = "", with_stats=FALSE,
dump_format = c("text", "json"), ...) {
@@ -50,19 +50,19 @@ xgb.dump <- function(model, fname = NULL, fmap = "", with_stats=FALSE,
stop("fname: argument must be a character string (when provided)")
if (!(is.null(fmap) || is.character(fmap)))
stop("fmap: argument must be a character string (when provided)")
model <- xgb.Booster.complete(model)
model_dump <- .Call(XGBoosterDumpModel_R, model$handle, NVL(fmap, "")[1], as.integer(with_stats),
as.character(dump_format))
if (is.null(fname))
if (is.null(fname))
model_dump <- stri_replace_all_regex(model_dump, '\t', '')
if (dump_format == "text")
model_dump <- unlist(stri_split_regex(model_dump, '\n'))
model_dump <- grep('^\\s*$', model_dump, invert = TRUE, value = TRUE)
if (is.null(fname)) {
return(model_dump)
} else {