Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/18067#discussion_r117906523
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -776,6 +778,19 @@ newDF <- createDataFrame(data.frame(x = c(1.5, 3.2)))
head(predict(isoregModel, newDF))
```
+#### Decision Tree
+
+`spark.decisionTree` fits a [decision
tree](https://en.wikipedia.org/wiki/Decision_tree_learning) classification or
regression model on a `SparkDataFrame`.
+Users can call `summary` to get a summary of the fitted model, `predict`
to make predictions, and `write.ml`/`read.ml` to save/load fitted models.
+
+We use the `longley` dataset to train a decision tree and make predictions:
+
+```{r, warning=FALSE}
+df <- createDataFrame(longley)
--- End diff --
I'd say try to use a data set without `.` in column name if you can.
Probably would be confusion when examples are causing warnings when users
run them
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