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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/04/29 20:56:07 UTC

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

Xiangrui Meng created SPARK-7242:
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             Summary: 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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