GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/11622
[SPARK-13787][ML][PYSPARK] Pyspark feature importances for decision tree
and random forest
## What changes were proposed in this pull request?
This patch adds a `featureImportance` property to the Pyspark API for
`DecisionTreeRegressionModel`, `DecisionTreeClassificationModel`,
`RandomForestRegressionModel` and `RandomForestClassificationModel`.
## How was this patch tested?
Python doc tests for the affected classes were updated to check feature
importances.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sethah/spark SPARK-13787
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11622.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 #11622
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commit 9cbe8ea8bfd9a486129bcb15821e2cdc4c691cff
Author: sethah <[email protected]>
Date: 2016-03-09T23:38:19Z
adding feature importances for decision tree and random forest
commit 6226cd40ae2ec4206d2a45b3fcd0d58cb2e0ebb8
Author: sethah <[email protected]>
Date: 2016-03-10T00:34:31Z
adding links
commit d1a5a7e60b0ecf6d7f7ebce3aa6c0663a09f71a5
Author: sethah <[email protected]>
Date: 2016-03-10T00:46:48Z
adding doctests
commit f1307a3324566534f8714288ff8004cbb2ccfb47
Author: sethah <[email protected]>
Date: 2016-03-10T00:49:01Z
fixing typo
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