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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 -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org