[jira] [Created] (SPARK-14216) ML models should have a standardized, reusable feature importance test

["Seth Hendrickson (JIRA)" <ji...@apache.org>]

Seth Hendrickson created SPARK-14216:
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             Summary: ML 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


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.



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