[jira] [Assigned] (SPARK-14497) Use top instead of sortBy() to get top N frequent words as dict in ConutVectorizer

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

     [ https://issues.apache.org/jira/browse/SPARK-14497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-14497:
------------------------------------

    Assignee:     (was: Apache Spark)

> Use top instead of sortBy() to get top N frequent words as dict in ConutVectorizer
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-14497
>                 URL: https://issues.apache.org/jira/browse/SPARK-14497
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Feng Wang
>
> It's not necessary to sort the whole rdd to get top n frequent words.
>         // Sort terms to select vocab
>         wordCounts.sortBy(_._2, ascending = false).take(vocSize)
>       
> we could use top() instead since: 
> top - O ( n )
> sortBy - O (n*logn)
> A minor side effect introduced by top() using default implicit Ordering in Tuple2: 
> if the terms with same TF in dictionary would be sorted in descending order.
> (a:1), (b:1),(c:1)  => dict: [c, b, a]



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