zhengruifeng created SPARK-30545:
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Summary: 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
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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