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Posted to issues@spark.apache.org by "Robert Dodier (JIRA)" <ji...@apache.org> on 2016/01/06 02:24:39 UTC

[jira] [Created] (SPARK-12664) Expose raw prediction scores in MultilayerPerceptronClassificationModel

Robert Dodier created SPARK-12664:
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             Summary: 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, MLlib
            Reporter: Robert Dodier
            Priority: Minor


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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