Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17557#discussion_r111819780
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -906,6 +910,37 @@ predicted <- predict(model, df)
head(predicted)
```
+#### FP-growth
+
+`spark.fpGrowth` executes FP-growth algorithm to mine frequent itemsets on
a `SparkDataFrame`. `itemsCol` should be an array of values.
+
+```{r}
+items <- selectExpr(createDataFrame(data.frame(items = c(
+ "T,R,U", "T,S", "V,R", "R,U,T,V", "R,S", "V,S,U", "U,R", "S,T", "V,R",
"V,U,S",
+ "T,V,U", "R,V", "T,S", "T,S", "S,T", "S,U", "T,R", "V,R", "S,V", "T,S,U"
+))), "split(items, ',') AS items")
--- End diff --
that's possible but I'm fairly certain there are still quite a few
functions we have missed over the year that are not in JIRA.
feel free to add them - would appreciate your help.
agree `array` is a bit tricky - I'd rather not having to diverge because of
consistency with `array_contain` function and so on, but I can see
`spark.array` might be an approach. Or perhaps `array_col`?
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