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https://issues.apache.org/jira/browse/SPARK-7242?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7242:
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Assignee: Apache Spark (was: Burak Yavuz)
> Frequent items for DataFrames
> -----------------------------
>
> Key: SPARK-7242
> URL: https://issues.apache.org/jira/browse/SPARK-7242
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Xiangrui Meng
> Assignee: Apache Spark
>
> Finding frequent items with possibly false positives, using the algorithm
> described in http://www.cs.umd.edu/~samir/498/karp.pdf.
> {code}
> df.stat.freqItems(cols: Array[String], support: Double = 0.001): DataFrame
> {code}
> The output is a local DataFrame having the input column names. In the first
> version, we will implement the single pass algorithm that may return false
> positives, but no false negatives.
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