[jira] [Assigned] (SPARK-13449) Naive Bayes wrapper in SparkR
[ https://issues.apache.org/jira/browse/SPARK-13449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-13449: Assignee: Xusen Yin (was: Apache Spark) > 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
[jira] [Assigned] (SPARK-13449) Naive Bayes wrapper in SparkR
[ https://issues.apache.org/jira/browse/SPARK-13449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-13449: Assignee: Apache Spark (was: Xusen Yin) > 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: Apache Spark > > 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