[ https://issues.apache.org/jira/browse/SPARK-30545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng reassigned SPARK-30545: ------------------------------------ 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. -- 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