Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/13877#discussion_r68337983
--- Diff: R/pkg/R/mllib.R ---
@@ -390,23 +376,41 @@ setMethod("predict", signature(object =
"KMeansModel"),
return(dataFrame(callJMethod(object@jobj, "transform",
newData@sdf)))
})
-#' Fit a Bernoulli naive Bayes model
+#' Naive Bayes Models
#'
-#' Fit a Bernoulli naive Bayes model on a Spark DataFrame (only
categorical data is supported).
+#' \code{spark.naiveBayes} fits a Bernoulli naive Bayes model against a
SparkDataFrame.
+#' Users can call \code{summary} to print a summary of the fitted model,
\code{predict} to make
+#' predictions on new data, and \code{write.ml}/\code{read.ml} to
save/load fitted models.
+#' Only categorical data is supported.
#'
-#' @param data SparkDataFrame for training
+#' @param data A \code{SparkDataFrame} of observations and labels for
model fitting
#' @param formula A symbolic description of the model to be fitted.
Currently only a few formula
#' operators are supported, including '~', '.', ':', '+',
and '-'.
#' @param smoothing Smoothing parameter
-#' @return a fitted naive Bayes model
+#' @return \code{spark.naiveBayes} returns a fitted naive Bayes model
#' @rdname spark.naiveBayes
+#' @name spark.naiveBayes
#' @seealso e1071: \url{https://cran.r-project.org/web/packages/e1071/}
--- End diff --
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