Guo-Xun Yuan commented on SPARK-12664:

I would also vote this as an important features. Also, Is there any reason why 
MultilayerPerceptronClassifier is derived from `Predictor` and 
MultilayerPerceptronClassificationModel is derived from `PredictionModel` 
rather than `Classifier` and `ClassificationModel` ??

Btw, the same things also happen to GBTClassifier and GBTClassificationModel.

> 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
> 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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