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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:35:45 UTC

[jira] [Resolved] (SPARK-8442) FitTransform method for pipeline

     [ https://issues.apache.org/jira/browse/SPARK-8442?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-8442.
---------------------------------
    Resolution: Incomplete

> FitTransform method for pipeline
> --------------------------------
>
>                 Key: SPARK-8442
>                 URL: https://issues.apache.org/jira/browse/SPARK-8442
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 1.4.0
>            Reporter: Peter Rudenko
>            Priority: Major
>              Labels: bulk-closed
>
> Currently in pipeline fit's method the data is transformed and keep tracked through the whole pipeline. But it returns only PipelineModel, so after need to call PipelineModel.transform - and to do the same job twice. 
> Need to implement method:
> {code}
> def fitTransform(dataset: Dataframe): (PipelineModel, Dataframe)
> {code}
> That would returned PipelineModel and transformed dataframe.



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