[
https://issues.apache.org/jira/browse/SPARK-19940?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nick Pentreath updated SPARK-19940:
-----------------------------------
Description:
Due to misplaced {{distinct}} {{FPGrowthModel.transform}} generates duplicated
items in the "prediction":
{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}
was:
Due to misplaced {{distinct}} {{FPGrowthModel.transform} generates duplicated
items in the "prediction":
{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}
> FPGrowthModel.transform should skip duplicated items
> ----------------------------------------------------
>
> Key: SPARK-19940
> URL: https://issues.apache.org/jira/browse/SPARK-19940
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.2.0
> Reporter: Maciej Szymkiewicz
> Assignee: Maciej Szymkiewicz
> Priority: Minor
> Fix For: 2.2.0
>
>
> Due to misplaced {{distinct}} {{FPGrowthModel.transform}} generates
> duplicated items in the "prediction":
> {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}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
