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Posted to issues@spark.apache.org by "Max Kaznady (JIRA)" <ji...@apache.org> on 2015/04/13 21:05:12 UTC
[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-tabpanel&focusedCommentId=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.
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