Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r81194847
--- Diff: R/pkg/R/mllib.R ---
@@ -1310,3 +1335,33 @@ setMethod("write.ml", signature(object = "ALSModel",
path = "character"),
function(object, path, overwrite = FALSE) {
write_internal(object, path, overwrite)
})
+
+#' Decision tree regression model.
+#'
+#' Fit Decision Tree regression model on a SparkDataFrame.
+#'
+#' @param data SparkDataFrame for training.
+#' @param formula A symbolic description of the model to be fitted.
Currently only a few formula
+#' operators are supported, including '~', ':', '+', and
'-'.
+#' Note that operator '.' is not supported currently.
+#' @return a fitted decision tree regression model
+#' @rdname spark.decisionTreeRegressor
+#' @seealso rpart: \url{https://cran.r-project.org/web/packages/rpart/}
+#' @export
+#' @examples
+#' \dontrun{
+#' df <- createDataFrame(sqlContext, kyphosis)
+#' model <- spark.decisionTreeRegression(df, Kyphosis ~ Age + Number +
Start)
+#' }
+setMethod("spark.decisionTreeRegression", signature(data =
"SparkDataFrame", formula = "formula"),
+ function(data, formula) {
+ formula <- paste(deparse(formula), collapse = "")
+ jobj <-
callJStatic("org.apache.spark.ml.r.DecisionTreeRegressorWrapper", "fit",
+ data@sdf, formula)
+ new("DecisionTreeRegressionModel", jobj = jobj)
+ })
+
+setMethod("predict", signature(object = "DecisionTreeRegressionModel"),
+ function(object, newData) {
+ return(dataFrame(callJMethod(object@jobj, "transform",
newData@sdf)))
--- End diff --
I think this has been updated to use an internal function - could you check?
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