zhengruifeng created SPARK-30545: ------------------------------------ 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org