[GitHub] [spark] zhengruifeng opened a new pull request #26135: [SPARK-29489][ML][PySpark] ml.evaluation support log-loss

[GitBox <gi...@apache.org>]

zhengruifeng opened a new pull request #26135: [SPARK-29489][ML][PySpark] ml.evaluation support log-loss
URL: https://github.com/apache/spark/pull/26135
 
 
   ### What changes were proposed in this pull request?
   `ml.MulticlassClassificationEvaluator` & `mllib.MulticlassMetrics` support log-loss
   
   
   ### Why are the changes needed?
   log-loss is an important classification metric and is widely used in practice
   
   ### Does this PR introduce any user-facing change?
   Yes, add new option ("logloss") and a related param `eps`
   
   
   ### How was this patch tested?
   added testsuites & local tests refering to sklearn

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