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Villu Ruusmann commented on SPARK-8546: --------------------------------------- Hi [~rgasiorek] - would it be an option to re-build your models in Spark ML instead of MLlib? I have been working on Spark ML pipelines-to-PMML converter called JPMML-SparkML (https://github.com/jpmml/jpmml-sparkml), which could fully address your use case then. JPMML-SparkML supports all tree-based models and the majority of non-NLP domain transformations. It would be possible to add support for the `classification.NaiveBayesModel` model type in a day or two if needed. > PMML export for Naive Bayes > --------------------------- > > Key: SPARK-8546 > URL: https://issues.apache.org/jira/browse/SPARK-8546 > Project: Spark > Issue Type: New Feature > Components: MLlib > Reporter: Joseph K. Bradley > Assignee: Xusen Yin > Priority: Minor > > The naive Bayes section of PMML standard can be found at > http://www.dmg.org/v4-1/NaiveBayes.html. We should first figure out how to > generate PMML for both binomial and multinomial naive Bayes models using > JPMML (maybe [~vfed] can help). -- 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