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Posted to issues@spark.apache.org by "Drew Robb (JIRA)" <ji...@apache.org> on 2017/03/16 21:20:41 UTC
[jira] [Commented] (SPARK-12664) Expose raw prediction scores in
MultilayerPerceptronClassificationModel
[ https://issues.apache.org/jira/browse/SPARK-12664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15928928#comment-15928928 ]
Drew Robb commented on SPARK-12664:
-----------------------------------
This feature is also very important to me. I'm considering working on it myself and will post here if I begin that.
> 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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