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From "Reynold Xin (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-7242) Frequent items for DataFrames
Date Sat, 02 May 2015 06:44:06 GMT

     [ https://issues.apache.org/jira/browse/SPARK-7242?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Reynold Xin resolved SPARK-7242.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

> 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
>             Fix For: 1.4.0
>
>
> 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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