GitHub user staple opened a pull request:
https://github.com/apache/spark/pull/2412
[SPARK-3550][MLLIB] Disable automatic rdd caching for relevant learners.
The NaiveBayes, ALS, and DecisionTree learners do not require external
caching to prevent repeated RDD re-evaluation during learning iterations.
NaiveBayes only evaluates its input RDD once, while ALS and DecisionTree
internally persist transformations of their input RDDs.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/staple/spark SPARK-3550
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2412.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2412
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commit c8ff120945da4c1aa2d0c9ba81fbed79de6cab66
Author: Aaron Staple <aaron.sta...@gmail.com>
Date: 2014-09-15T20:22:27Z
[SPARK-3550][MLLIB] Disable automatic rdd caching for relevant learners.
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