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https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15905840#comment-15905840
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Maciej Szymkiewicz commented on SPARK-14503:
--------------------------------------------
I think we should keep only unique predictions in {{transform}} otherwise it is
possible to get results like this:
{code}
scala> val data =
spark.read.text("data/mllib/sample_fpgrowth.txt").select(split($"value",
"\\s+").alias("features"))
data: org.apache.spark.sql.DataFrame = [features: array<string>]
scala> val data =
spark.read.text("data/mllib/sample_fpgrowth.txt").select(split($"value",
"\\s+").alias("features"))
data: org.apache.spark.sql.DataFrame = [features: array<string>]
scala> fpm.transform(Seq(Array("t", "s")).toDF("features")).show(1, false)
+--------+---------------------+
|features|prediction |
+--------+---------------------+
|[t, s] |[y, x, z, x, y, x, z]|
+--------+---------------------+
{code}
> spark.ml Scala API for FPGrowth
> -------------------------------
>
> Key: SPARK-14503
> URL: https://issues.apache.org/jira/browse/SPARK-14503
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Joseph K. Bradley
> Assignee: yuhao yang
> Fix For: 2.2.0
>
>
> This task is the first port of spark.mllib.fpm functionality to spark.ml
> (Scala).
> This will require a brief design doc to confirm a reasonable DataFrame-based
> API, with details for this class. The doc could also look ahead to the other
> fpm classes, especially if their API decisions will affect FPGrowth.
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