[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
