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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/03/17 00:38:39 UTC

[jira] [Closed] (SPARK-6340) mllib.IDF for LabelPoints

     [ https://issues.apache.org/jira/browse/SPARK-6340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley closed SPARK-6340.
------------------------------------
    Resolution: Not a Problem

> mllib.IDF for LabelPoints
> -------------------------
>
>                 Key: SPARK-6340
>                 URL: https://issues.apache.org/jira/browse/SPARK-6340
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.3.0
>         Environment: python 2.7.8
> pyspark
> OS: Linux Mint 17 Qiana (Cinnamon 64-bit)
>            Reporter: Kian Ho
>            Priority: Minor
>              Labels: feature
>
> as per: http://apache-spark-user-list.1001560.n3.nabble.com/Using-TF-IDF-from-MLlib-td19429.html#a19528
> Having the IDF.fit accept LabelPoints would be useful since, correct me if i'm wrong, there currently isn't a way of keeping track of which labels belong to which documents if one needs to apply a conventional tf-idf transformation on labelled text data.



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