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Posted to issues@spark.apache.org by "Matthieu Baechler (JIRA)" <ji...@apache.org> on 2017/03/06 15:19:32 UTC

[jira] [Commented] (SPARK-10764) Add optional caching to Pipelines

    [ https://issues.apache.org/jira/browse/SPARK-10764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15897465#comment-15897465 ] 

Matthieu Baechler commented on SPARK-10764:
-------------------------------------------

Hi, I'm curious to know how to achieve caching as of today with ml pipelines ?

> Add optional caching to Pipelines
> ---------------------------------
>
>                 Key: SPARK-10764
>                 URL: https://issues.apache.org/jira/browse/SPARK-10764
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Joseph K. Bradley
>
> We need to explore how to cache DataFrames during the execution of Pipelines.  It's a hard problem in general to handle automatically or manually, so we should start with some design discussions about:
> * How to control it manually
> * Whether & how to handle it automatically
> * API changes needed for each



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