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Posted to issues@spark.apache.org by "Sean R. Owen (Jira)" <ji...@apache.org> on 2020/07/01 13:11:00 UTC
[jira] [Updated] (SPARK-23631) Add summary to
RandomForestClassificationModel
[ https://issues.apache.org/jira/browse/SPARK-23631?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean R. Owen updated SPARK-23631:
---------------------------------
Priority: Minor (was: Major)
> Add summary to RandomForestClassificationModel
> ----------------------------------------------
>
> Key: SPARK-23631
> URL: https://issues.apache.org/jira/browse/SPARK-23631
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 2.3.0
> Reporter: Evan Zamir
> Assignee: Huaxin Gao
> Priority: Minor
> Labels: bulk-closed
> Fix For: 3.1.0
>
>
> I'm using the RandomForestClassificationModel and noticed that there is no summary attribute like there is for LogisticRegressionModel. Specifically, I'd like to have the roc and pr curves. Is that on the Spark roadmap anywhere? Is there a reason it hasn't been implemented?
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