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Apache Spark commented on SPARK-13449: -------------------------------------- User 'yinxusen' has created a pull request for this issue: https://github.com/apache/spark/pull/11486 > Naive Bayes wrapper in SparkR > ----------------------------- > > Key: SPARK-13449 > URL: https://issues.apache.org/jira/browse/SPARK-13449 > Project: Spark > Issue Type: New Feature > Components: ML, SparkR > Reporter: Xiangrui Meng > Assignee: Xusen Yin > > Following SPARK-13011, we can add a wrapper for naive Bayes in SparkR. R's > naive Bayes implementation is from package e1071 with signature: > {code} > ## S3 method for class 'formula' > naiveBayes(formula, data, laplace = 0, ..., subset, na.action = na.pass) > ## Default S3 method, which we don't want to support > # naiveBayes(x, y, laplace = 0, ...) > ## S3 method for class 'naiveBayes' > predict(object, newdata, > type = c("class", "raw"), threshold = 0.001, eps = 0, ...) > {code} > It should be easy for us to match the parameters. -- 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