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