GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/12056
[SPARK-14264][PYSPARK][ML] Add feature importance for GBTs in pyspark
## What changes were proposed in this pull request?
Feature importances are exposed in the python API for GBTs.
Other changes:
* Update the random forest feature importance documentation to not repeat
decision tree docstring and instead place a reference to it.
## How was this patch tested?
Python doc tests were updated to validate GBT feature importance.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sethah/spark Pyspark_GBT_feature_importance
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12056.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 #12056
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commit 892d30123a192cd3796892c0f64a5cf2993e1f09
Author: sethah <[email protected]>
Date: 2016-03-30T04:50:33Z
adding feature importance to gbts in pyspark
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