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Posted to issues@spark.apache.org by "Mike Seddon (JIRA)" <ji...@apache.org> on 2016/01/12 08:30:39 UTC
[jira] [Commented] (SPARK-5891) Add Binarizer
[ https://issues.apache.org/jira/browse/SPARK-5891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15093472#comment-15093472 ]
Mike Seddon commented on SPARK-5891:
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I made the changes for the Binarizer to handle both Double and Vector input columns:
https://github.com/seddonm1/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/Binarizer.scala
I would appreciate if someone could review and determine if I can submit a pull request?
> 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: Liang-Chi Hsieh
> Fix For: 1.4.0
>
>
> `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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