[jira] [Commented] (SPARK-7242) Frequent items for DataFrames

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7242?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14524575#comment-14524575 ] 

Apache Spark commented on SPARK-7242:
-------------------------------------

User 'brkyvz' has created a pull request for this issue:
https://github.com/apache/spark/pull/5859

> 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: Burak Yavuz
>
> 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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