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