GitHub user petro-rudenko opened a pull request:
https://github.com/apache/spark/pull/4595
[Ml] SPARK-5804 Explicitly manage cache in Crossvalidator k-fold loop
On a big dataset explicitly unpersist train and validation folds allows to
load more data into memory in the next loop iteration. On my environment
(single node 8Gb worker RAM, 2 GB dataset file, 3 folds for cross validation),
saved more than 5 minutes.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/petro-rudenko/spark patch-2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4595.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 #4595
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commit c5f3265a13c39c693d1fd13d46fadff89d2ab6da
Author: Peter Rudenko <[email protected]>
Date: 2015-02-13T19:21:56Z
[Ml] SPARK-5804 Explicitly manage cache in Crossvalidator k-fold loop
On a big dataset explicitly unpersist train and validation folds allows to
load more data into memory in the next loop iteration. On my environment
(single node 8Gb worker RAM, 2 GB dataset file, 3 folds for cross validation),
saved more than 5 minutes.
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