diff options
Diffstat (limited to 'R/pkg')
| -rw-r--r-- | R/pkg/R/mllib.R | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/R/pkg/R/mllib.R b/R/pkg/R/mllib.R index 4fe73671f8..e9fd0c75c1 100644 --- a/R/pkg/R/mllib.R +++ b/R/pkg/R/mllib.R @@ -55,8 +55,9 @@ setClass("KMeansModel", representation(jobj = "jobj")) #' Generalized Linear Models #' -#' Fits generalized linear model against a Spark DataFrame. Users can print, make predictions on the -#' produced model and save the model to the input path. +#' Fits generalized linear model against a Spark DataFrame. +#' 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. #' #' @param data SparkDataFrame for training. #' @param formula A symbolic description of the model to be fitted. Currently only a few formula @@ -270,7 +271,8 @@ setMethod("summary", signature(object = "NaiveBayesModel"), #' K-Means Clustering Model #' #' Fits a k-means clustering model against a Spark DataFrame, similarly to R's kmeans(). -#' Users can print, make predictions on the produced model and save the model to the input path. +#' 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. #' #' @param data SparkDataFrame for training #' @param formula A symbolic description of the model to be fitted. Currently only a few formula |