Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/12680#discussion_r61066043
--- Diff: R/pkg/R/mllib.R ---
@@ -243,6 +243,54 @@ setMethod("kmeans", signature(x = "SparkDataFrame"),
return(new("KMeansModel", jobj = jobj))
})
+#' Save the KMeans model to the input path.
+#'
+#' @param object A fitted KMeans model
+#' @param path The directory where the model is saved
+#' @param overwrite Overwrites or not if the output path already exists.
Default is FALSE
+#' which means throw exception if the output path exists.
+#'
+#' @rdname ml.save
+#' @name ml.save
+#' @export
+#' @examples
+#' \dontrun{
+#' df <- createDataFrame(sqlContext, infert)
+#' model <- KMeans(df)
+#' path <- "path/to/model"
+#' ml.save(model, path)
+#' }
+setMethod("ml.save", signature(object = "KMeansModel", path = "character"),
+function(object, path, overwrite = FALSE) {
+ writer <- callJMethod(object@jobj, "write")
+ if (overwrite) {
+ writer <- callJMethod(writer, "overwrite")
+ }
+ invisible(callJMethod(writer, "save", path))
+})
+
+#' Load a fitted MLlib model from the input path.
+#'
+#' @param path Path of the model to read.
+#' @return a fitted MLlib model
+#' @rdname ml.load
+#' @name ml.load
+#' @export
+#' @examples
+#' \dontrun{
+#' path <- "path/to/model"
+#' model <- ml.load(path)
+#' }
+ml.load <- function(path) {
--- End diff --
@GayathriMurali It's not necessary to implement separate ```ml.load``` for
each R model, we can load all models by the same ```ml.load``` method.
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