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Joseph K. Bradley commented on SPARK-15617: ------------------------------------------- It's still exposed though (in a semi-non-deprecated manner) via MulticlassClassificationEvaluator. Maybe we should remove those options from the Evaluator, rather than adding this documentation. What do you think? > Clarify that fMeasure in MulticlassMetrics and > MulticlassClassificationEvaluator is "micro" f1_score > ---------------------------------------------------------------------------------------------------- > > Key: SPARK-15617 > URL: https://issues.apache.org/jira/browse/SPARK-15617 > Project: Spark > Issue Type: Documentation > Components: Documentation, ML, MLlib > Reporter: Joseph K. Bradley > Priority: Minor > > See description in sklearn docs: > [http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html] > I believe we are calculating the "micro" average for {{val fMeasure: > Double}}. We should clarify this in the docs. > I'm not sure if "micro" is a common term, so we should check other libraries > too. -- 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