GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/8369
[SPARK-10061] [DOC] ML ensemble docs
User guide for spark.ml GBTs and Random Forests.
The examples are copied from the decision tree guide and modified to run.
I caught some issues I had somehow missed in the tree guide as well.
I have run all examples, including Java ones. (Of course, I thought I had
previously as well...)
CC: @mengxr @manishamde @yanboliang
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark ml-ensemble-docs
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/8369.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 #8369
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commit f13d882198f456de812af0dcb7b67255d8ecd080
Author: Joseph K. Bradley <[email protected]>
Date: 2015-08-21T22:28:13Z
added random forest, GBT sections to ml-ensembles.md. Fixed issue with
1-category features for GBTs
commit e05435809e59165c932b08997b3bb41d769ae67c
Author: Joseph K. Bradley <[email protected]>
Date: 2015-08-21T22:36:26Z
reverted changes in Strategy since those will be in another PR
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