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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/03/15 04:15:00 UTC

[jira] [Commented] (SPARK-34740) can class pyspark.mllib.evaluation.RegressionMetrics() accept DataFrame as the parameter?

    [ https://issues.apache.org/jira/browse/SPARK-34740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17301371#comment-17301371 ] 

Hyukjin Kwon commented on SPARK-34740:
--------------------------------------

pyspark.mllib is for RDD only. You should implement this in pyspark.ml

> can class pyspark.mllib.evaluation.RegressionMetrics() accept DataFrame as the parameter?
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-34740
>                 URL: https://issues.apache.org/jira/browse/SPARK-34740
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 2.4.6
>            Reporter: xifeng
>            Priority: Minor
>
> class pyspark.mllib.evaluation.RegressionMetrics(predictionAndObservations) can only accept  an RDD of (prediction, observation) pairs as the parameter.
> Can it also accept the DataFrame as the parameter? Which would be much more convenient.



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