Github user staple commented on the pull request: https://github.com/apache/spark/pull/2347#issuecomment-55747592 Hi, per the discussion in https://github.com/apache/spark/pull/2362 the plan is to continue caching before deserialization from python rather than after, in order to minimize the cached rdd memory footprint. This means that, without further work, warning messages will be logged for every python mllib regression and kmeans run. I added a patch that suppresses these warning messages during python runs in a way that I think is fairly unobtrusive. Please let me know what you think.
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