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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/05/02 08:44:06 UTC
[jira] [Resolved] (SPARK-7242) Frequent items for DataFrames
[ 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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