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From zero323 <...@git.apache.org>
Subject [GitHub] spark pull request #17557: [SPARK-20208][WIP][R][DOCS] Document R fpGrowth s...
Date Fri, 07 Apr 2017 19:02:37 GMT
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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