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From "Guo-Xun Yuan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-12664) Expose raw prediction scores in MultilayerPerceptronClassificationModel
Date Wed, 12 Oct 2016 20:32:22 GMT

    [ https://issues.apache.org/jira/browse/SPARK-12664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15569792#comment-15569792
] 

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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