Ram Sriharsha created SPARK-7690:
------------------------------------
Summary: MulticlassClassificationEvaluator for tuning Multiclass
Classifiers
Key: SPARK-7690
URL: https://issues.apache.org/jira/browse/SPARK-7690
Project: Spark
Issue Type: Improvement
Components: ML
Reporter: Ram Sriharsha
Provide a MulticlassClassificationEvaluator with weighted F1-score to tune
multiclass classifiers using Pipeline API.
MLLib already provides a MulticlassMetrics functionality which can be wrapped
around a MulticlassClassificationEvaluator to expose weighted F1-score as
metric.
The functionality could be similar to
scikit(http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html)
in that we can support micro, macro and weighted versions of the F1-score
(with weighted being default)
--
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
