Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/18496#discussion_r125522252
--- Diff: R/pkg/R/mllib_tree.R ---
@@ -374,6 +374,10 @@ setMethod("write.ml", signature(object =
"GBTClassificationModel", path = "chara
#' nodes. If TRUE, the algorithm will cache node IDs
for each instance. Caching
#' can speed up training of deeper trees. Users can
set how often should the
#' cache be checkpointed or disable it by setting
checkpointInterval.
+#' @param handleInvalid How to handle invalid data (unseen labels or NULL
values) in classification model.
+#' Supported options: "skip" (filter out rows with invalid data),
+#' "error" (throw an error), "keep" (put invalid
data in a special additional
--- End diff --
is "error" the default behavior? since we are doing `handleInvalid =
c("error", "skip", "keep")` could you add text to say it's the default. also
consider sorting the options - default first "error", then "keep", "skip" if we
are alphabetical?
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