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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/19 16:55:43 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-10764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-10764:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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