[
https://issues.apache.org/jira/browse/SPARK-29258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhengruifeng resolved SPARK-29258.
----------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 25940
[https://github.com/apache/spark/pull/25940]
> parity between ml.evaluator and mllib.metrics
> ---------------------------------------------
>
> Key: SPARK-29258
> URL: https://issues.apache.org/jira/browse/SPARK-29258
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Priority: Minor
> Fix For: 3.0.0
>
>
> 1, expose {{BinaryClassificationMetrics.numBins}} in
> {{BinaryClassificationEvaluator}}
> 2, expose {{RegressionMetrics.throughOrigin}} in {{RegressionEvaluator}}
> 3, add metric {{explainedVariance}} in {{RegressionEvaluator}}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
