GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/7838
[SPARK-5133] [ml] [WIP] Added featureImportance to RandomForestClassifier
and Regressor
Added featureImportance to RandomForestClassifier and Regressor.
This follows the scikit-learn implementation here:
[https://github.com/scikit-learn/scikit-learn/blob/a95203b249c1cf392f86d001ad999e29b2392739/sklearn/tree/_tree.pyx#L3341]
**TODO**: I still need to add unit tests comparing with an sklearn model.
CC: @yanboliang Would you mind taking a look? Thanks!
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark dt-feature-importance
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/7838.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 #7838
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commit dc33a1d8541c3fb9bf573e2df667b4eb9c0a0297
Author: Joseph K. Bradley <[email protected]>
Date: 2015-07-31T19:55:06Z
Added featureImportance to RandomForestClassifier/Regressor. Need to add
unit tests
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