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Date: Thu, 13 Oct 2016 07:15:20 +0000 (UTC)
From: "Yanbo Liang (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12927640.1452043450000.814002.1476342920875@Atlassian.JIRA>
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Subject: [jira] [Commented] (SPARK-12664) Expose raw prediction scores in
 MultilayerPerceptronClassificationModel
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archived-at: Thu, 13 Oct 2016 07:15:23 -0000


    [ https://issues.apache.org/jira/browse/SPARK-12664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15571105#comment-15571105 ] 

Yanbo Liang commented on SPARK-12664:
-------------------------------------

[~GayathriMurali] Are you still working on this, if not, I can take over this and send a PR in a few days.
[~eaudex] It just for simplifying the implementation and focus on the core algorithm. I also weigh this as an important feature. Thanks!

> 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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