Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16117#discussion_r90693837
--- Diff: R/pkg/R/mllib.R ---
@@ -733,8 +733,6 @@ setMethod("predict", signature(object = "KMeansModel"),
#' excepting that at most one value may be 0. The class
with largest value p/t is predicted, where p
#' is the original probability of that class and t is the
class's threshold.
#' @param weightCol The weight column name.
-#' @param aggregationDepth depth for treeAggregate (>= 2). If the
dimensions of features or the number of partitions
-#' are large, this param could be adjusted to a
larger size.
--- End diff --
`aggregationDepth` is still on scala side. Any reason to remove it?
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