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Posted to issues@spark.apache.org by "Huaxin Gao (Jira)" <ji...@apache.org> on 2020/06/30 20:37:00 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 ]

Huaxin Gao updated SPARK-23631:
-------------------------------
        Parent: SPARK-32139
    Issue Type: Sub-task  (was: New Feature)

> 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
>            Priority: Major
>              Labels: bulk-closed
>
> 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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