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https://issues.apache.org/jira/browse/SPARK-21594?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21594.
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Resolution: Invalid
This should go to u...@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
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