[jira] [Commented] (SPARK-21729) Generic test for ProbabilisticClassifier to ensure consistent output columns

["Weichen Xu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21729?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16137946#comment-16137946 ] 

Weichen Xu commented on SPARK-21729:
------------------------------------

I will work on this, thanks!

> Generic test for ProbabilisticClassifier to ensure consistent output columns
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-21729
>                 URL: https://issues.apache.org/jira/browse/SPARK-21729
>             Project: Spark
>          Issue Type: Test
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Joseph K. Bradley
>
> One challenge with the ProbabilisticClassifier abstraction is that it introduces different code paths for predictions depending on which output columns are turned on or off: probability, rawPrediction, prediction.  We ran into a bug in MLOR with this.
> This task is for adding a generic test usable in all test suites for ProbabilisticClassifier types which does the following:
> * Take a dataset + Estimator
> * Fit the Estimator
> * Test prediction using the model with all combinations of output columns turned on/off.
> * Make sure the output column values match, presumably by comparing vs. the case with all 3 output columns turned on
> CC [~WeichenXu123] since this came up in https://github.com/apache/spark/pull/17373



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