[jira] [Updated] (SPARK-5890) Add FeatureDiscretizer

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-5890:
---------------------------------
    Parent Issue: SPARK-8521  (was: SPARK-5884)

> Add FeatureDiscretizer
> ----------------------
>
>                 Key: SPARK-5890
>                 URL: https://issues.apache.org/jira/browse/SPARK-5890
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Xiangrui Meng
>
> A `FeatureDiscretizer` takes a column with continuous features and outputs a column with binned categorical features.
> {code}
> val fd = new FeatureDiscretizer()
>   .setInputCol("age")
>   .setNumBins(32)
>   .setOutputCol("ageBins")
> {code}
> This should an automatic feature discretizer, which uses a simple algorithm like approximate quantiles to discretize features. It should set the ML attribute correctly in the output column.



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