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Posted to issues@spark.apache.org by "Guo-Xun Yuan (JIRA)" <ji...@apache.org> on 2016/10/12 20:32:22 UTC

[jira] [Comment Edited] (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=15569792#comment-15569792 ] 

Guo-Xun Yuan edited comment on SPARK-12664 at 10/12/16 8:31 PM:
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I would also vote this as an important feature. 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.


was (Author: eaudex):
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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