spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Shivaram Venkataraman (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-6823) Add a model.matrix like capability to DataFrames (modelDataFrame)
Date Sun, 02 Aug 2015 21:36:04 GMT

    [ https://issues.apache.org/jira/browse/SPARK-6823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14651196#comment-14651196
] 

Shivaram Venkataraman commented on SPARK-6823:
----------------------------------------------

[~ekhliang] [~mengxr] Is this addressed by the StringType PR ? I'm wondering if we can resolve
this issue

> 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: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message