Github user keypointt commented on a diff in the pull request:
https://github.com/apache/spark/pull/13921#discussion_r68642313
--- Diff: R/pkg/R/mllib.R ---
@@ -277,14 +277,32 @@ setMethod("summary", signature(object =
"NaiveBayesModel"),
#' @param k Number of centers
#' @param maxIter Maximum iteration number
#' @param initMode The initialization algorithm choosen to fit the model
-#' @return A fitted k-means model
+#' @return \code{spark.kmeans} returns a fitted k-means model
#' @rdname spark.kmeans
+#' @name spark.kmeans
#' @export
#' @examples
#' \dontrun{
-#' model <- spark.kmeans(data, ~ ., k = 4, initMode = "random")
+#' sparkR.session()
+#' data(iris)
+#' df <- createDataFrame(iris)
+#' model <- spark.kmeans(df, Sepal_Length ~ Sepal_Width, k = 4, initMode =
"random")
+#' summary(model)
+#'
+#' # fitted values on training data
+#' fitted <- predict(model, df)
+#' head(select(fitted, "Sepal_Length", "prediction"))
+#'
+#' # save fitted model to input path
+#' path <- "path/to/model"
+#' write.ml(model, path)
--- End diff --
hi @junyangq , isn't it `write.ml (KM)` you are talking about?
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