[
https://issues.apache.org/jira/browse/SPARK-14216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-14216:
---------------------------------
Labels: bulk-closed (was: )
> ML tree models should have a standardized, reusable feature importance test
> ---------------------------------------------------------------------------
>
> Key: SPARK-14216
> URL: https://issues.apache.org/jira/browse/SPARK-14216
> Project: Spark
> Issue Type: Test
> Components: ML, Tests
> Reporter: Seth Hendrickson
> Priority: Minor
> Labels: bulk-closed
>
> ML models that have a {{featureImportances}} attribute all need to perform
> essentially the same test in their respective testing suites. Currently a
> fairly primitive test is basically copy/pasted in each test suite. It would
> be nice to create a single testing method that can be reused for all ML
> models with feature importance. It would also be nice to increase the
> robustness of the current test.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
