[jira] [Resolved] (SPARK-21594) Probability output from MutilayerPerceptronClassifier

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-21594.
-------------------------------
    Resolution: Invalid

This should go to user@spark.apache.org

> Probability output from MutilayerPerceptronClassifier
> -----------------------------------------------------
>
>                 Key: SPARK-21594
>                 URL: https://issues.apache.org/jira/browse/SPARK-21594
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 2.2.0
>         Environment: SPARK, PySpark,Scala, SparkR
>            Reporter: Joseph Wang
>
> My question is, is it possible to get not only the labels, but also (or only) the probability for that label? Like not just 0 or 1 for every input, but something like 0.95 for 0 and 0.05 for 1. If this is not possible with MLP, but is possible with other classifier. I have only used MLP because I know they should be capable of returning the probability, but I can't find it in PySpark. This is an inconsistent offering which needs to be fixed, which is provided by other algorithms in Spark MLlib with Spark Data Frame but not MLP which is related to AI stuff. 
> thanks
> Joseph



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org