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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/25 11:27:38 UTC

[jira] [Assigned] (SPARK-5891) Add Binarizer

     [ https://issues.apache.org/jira/browse/SPARK-5891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-5891:
-----------------------------------

    Assignee: Apache Spark

> Add Binarizer
> -------------
>
>                 Key: SPARK-5891
>                 URL: https://issues.apache.org/jira/browse/SPARK-5891
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Xiangrui Meng
>            Assignee: Apache Spark
>
> `Binarizer` takes a column of continuous features and output a column with binary features, where nonzeros (or values below a threshold) become 1 in the output.
> {code}
> val binarizer = new Binarizer()
>   .setInputCol("numVisits")
>   .setOutputCol("visited")
> {code}
> The output column should be marked as binary. We need to discuss whether we should process multiple columns or a vector column.



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