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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/04/13 21:08:13 UTC
[jira] [Updated] (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:all-tabpanel ]
Joseph K. Bradley updated SPARK-6884:
-------------------------------------
Affects Version/s: (was: 1.4.0)
1.3.0
> 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.
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