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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/10/16 07:54:31 UTC
[GitHub] [spark] zhengruifeng opened a new pull request #26135:
[SPARK-29489][ML][PySpark] ml.evaluation support log-loss
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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