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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/01/27 01:22:34 UTC

[jira] [Updated] (SPARK-5114) Should Evaluator be a PipelineStage

     [ https://issues.apache.org/jira/browse/SPARK-5114?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-5114:
---------------------------------
    Summary: Should Evaluator be a PipelineStage  (was: Should Evaluator by a PipelineStage)

> Should Evaluator be a PipelineStage
> -----------------------------------
>
>                 Key: SPARK-5114
>                 URL: https://issues.apache.org/jira/browse/SPARK-5114
>             Project: Spark
>          Issue Type: Question
>          Components: ML
>    Affects Versions: 1.2.0
>            Reporter: Joseph K. Bradley
>
> Pipelines can currently contain Estimators and Transformers.
> Question for debate: Should Pipelines be able to contain Evaluators?
> Pros:
> * Evaluators take input datasets with particular schema, which should perhaps be checked before running a Pipeline.
> Cons:
> * Evaluators do not transform datasets.   They produce a scalar (or a few values), which makes it hard to say how they fit into a Pipeline or a PipelineModel.



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