[
https://issues.apache.org/jira/browse/SPARK-5890?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14941444#comment-14941444
]
Joseph K. Bradley commented on SPARK-5890:
------------------------------------------
[~yinxusen] Could you please create JIRAs for: Python API + programming guide
update?
> Add QuantileDiscretizer
> -----------------------
>
> Key: SPARK-5890
> URL: https://issues.apache.org/jira/browse/SPARK-5890
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Xiangrui Meng
> Assignee: Xusen Yin
> Fix For: 1.6.0
>
>
> A `QuantileDiscretizer` takes a column with continuous features and outputs a
> column with binned categorical features.
> {code}
> val fd = new QuantileDiscretizer()
> .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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
