Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18496#discussion_r125154735
--- 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.
--- End diff --
I think the `labels` means the string label of a feature, which is
categorical (e.g., `white`, `black`).
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