GitHub user phatak-dev opened a pull request:
https://github.com/apache/spark/pull/17972
[SPARK-20723][ML]Add intermediate storage level to tree based classifiers
## What changes were proposed in this pull request?
Currently Random Forest implementation caches the intermediate data using
MEMORY_AND_DISK storage level. This creates issues in low memory scenarios. So
we should expose an expert param intermediateStorageLevel which allows user to
customise the storage level. This is similar to als options specified in below
jira
https://issues.apache.org/jira/browse/SPARK-14412
## How was this patch tested?
unit test cases.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/phatak-dev/spark randomforestfix
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17972.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 #17972
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commit 7b555f01841ea8a9a4fc48656636328cb8f254e9
Author: madhu <[email protected]>
Date: 2017-05-13T06:30:11Z
Add intermediate storage level to tree based classifiers
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