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https://issues.apache.org/jira/browse/SPARK-30545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reassigned SPARK-30545:
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Assignee: zhengruifeng
> Impl Extremely Randomized Trees
> -------------------------------
>
> Key: SPARK-30545
> URL: https://issues.apache.org/jira/browse/SPARK-30545
> Project: Spark
> Issue Type: New Feature
> Components: ML, PySpark
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Major
>
> 1, Extremely Randomized Trees or ExtraTrees is widely used and impled in
> Scikit-Learn and OpenCV;
> 2, ExtraTrees is quite similar to RandomForest, and the main difference lie
> in that,on each leaf, candidate splits (only one split in Scikit-Learn's
> impl) are drawn at random for each feature and the best of these
> randomly-chosen splits is selected.
> Based on current impl of ensenble trees, it can be impled.
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