[jira] [Commented] (SPARK-6884) random forest predict probabilities functionality (like in sklearn)
[ https://issues.apache.org/jira/browse/SPARK-6884?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14492892#comment-14492892 ] Joseph K. Bradley commented on SPARK-6884: -- Is this not a duplicate of [SPARK-3727]? Perhaps the best way to split up the work will be to make a subtask for trees, and a separate subtask for ensembles. I'll go ahead and do that. random forest predict probabilities functionality (like in sklearn) --- Key: SPARK-6884 URL: https://issues.apache.org/jira/browse/SPARK-6884 Project: Spark Issue Type: New Feature Components: MLlib Affects Versions: 1.3.0 Environment: cross-platform Reporter: Max Kaznady Labels: prediction, probability, randomforest, tree Original Estimate: 72h Remaining Estimate: 72h Currently, there is no way to extract the class probabilities from the RandomForest classifier. I implemented a probability predictor by counting votes from individual trees and adding up their votes for 1 and then dividing by the total number of votes. I opened this ticked to keep track of changes. Will update once I push my code to master. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-6884) random forest predict probabilities functionality (like in sklearn)
[ https://issues.apache.org/jira/browse/SPARK-6884?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14492868#comment-14492868 ] Max Kaznady commented on SPARK-6884: Implemented a prototype, testing mapReduce code. random forest predict probabilities functionality (like in sklearn) --- Key: SPARK-6884 URL: https://issues.apache.org/jira/browse/SPARK-6884 Project: Spark Issue Type: New Feature Components: MLlib Affects Versions: 1.4.0 Environment: cross-platform Reporter: Max Kaznady Labels: prediction, probability, randomforest, tree Original Estimate: 72h Remaining Estimate: 72h Currently, there is no way to extract the class probabilities from the RandomForest classifier. I implemented a probability predictor by counting votes from individual trees and adding up their votes for 1 and then dividing by the total number of votes. I opened this ticked to keep track of changes. Will update once I push my code to master. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
