Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512689
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
+
+#' Decision Tree Model for Regression and Classification
+#'
+#' \code{spark.decisionTree} fits a Decision Tree Regression model or
Classification model on
+#' a SparkDataFrame. Users can call \code{summary} to get a summary of the
fitted Decision Tree
+#' model, \code{predict} to make predictions on new data, and
\code{write.ml}/\code{read.ml} to
+#' save/load fitted models.
+#' For more details, see
\href{https://en.wikipedia.org/wiki/Decision_tree_learning}{Decision Tree}
--- End diff --
could you point this url to the Spark programming guide, like
http://spark.apache.org/docs/latest/ml-classification-regression.html
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