Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17557#discussion_r110459968
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -906,6 +910,24 @@ predicted <- predict(model, df)
head(predicted)
```
+#### FP-growth
+
+`spark.fpGrowth` executes FP-growth algorithm to mine frequent itemsets on
a `SparkDataFrame`.
+
+* `spark.freqItemsets` method can be used to retrieve a `SparkDataFrame`
with the frequent itemsets.
+* `spark.associationRules` returns a `SparkDataFrame` with the association
rules.
+
+
+```{r}
+items <- selectExpr(createDataFrame(data.frame(items = c(
+ "s,t,u",
--- End diff --
What do you mean by "real"? Something human readable (e.g. milk, bread,
butter) or some standard pattern mining dataset? If the former one then it is
not a problem. If the latter one I am not aware of any dataset which would be
safe enough on the license side.
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