[ 
https://issues.apache.org/jira/browse/SPARK-6823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Joseph K. Bradley updated SPARK-6823:
-------------------------------------
    Target Version/s:   (was: 1.5.0)

> Add a model.matrix like capability to DataFrames (modelDataFrame)
> -----------------------------------------------------------------
>
>                 Key: SPARK-6823
>                 URL: https://issues.apache.org/jira/browse/SPARK-6823
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, SparkR
>            Reporter: Shivaram Venkataraman
>
> Currently Mllib modeling tools work only with double data. However, data 
> tables in practice often have a set of categorical fields (factors in R), 
> that need to be converted to a set of 0/1 indicator variables (making the 
> data actually used in a modeling algorithm completely numeric). In R, this is 
> handled in modeling functions using the model.matrix function. Similar 
> functionality needs to be available within Spark.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to