Guo-Xun Yuan commented on SPARK-12664:

Thank you, [~yanboliang]! So, just to confirm, will your PR just cover a method 
that exposes raw prediction scores in MultilayerPerceptronClassificationModel? 
Or it will also cover the fix where MultilayerPerceptronClassificationModel is 
derived from ClassificationModel.


> Expose raw prediction scores in MultilayerPerceptronClassificationModel
> -----------------------------------------------------------------------
>                 Key: SPARK-12664
>                 URL: https://issues.apache.org/jira/browse/SPARK-12664
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Robert Dodier
>            Assignee: Yanbo Liang
> In 
> org.apache.spark.ml.classification.MultilayerPerceptronClassificationModel, 
> there isn't any way to get raw prediction scores; only an integer output 
> (from 0 to #classes - 1) is available via the `predict` method. 
> `mplModel.predict` is called within the class to get the raw score, but 
> `mlpModel` is private so that isn't available to outside callers.
> The raw score is useful when the user wants to interpret the classifier 
> output as a probability. 

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