From 18832162357282ec81515b5b2ba93747be3ad18b Mon Sep 17 00:00:00 2001
From: Junyang Qian <junyangq@databricks.com>
Date: Fri, 26 Aug 2016 11:01:48 -0700
Subject: [PATCH] [SPARKR][MINOR] Fix example of spark.naiveBayes
## What changes were proposed in this pull request?
The original example doesn't work because the features are not categorical. This PR fixes this by changing to another dataset.
## How was this patch tested?
Manual test.
Author: Junyang Qian <junyangq@databricks.com>
Closes #14820 from junyangq/SPARK-FixNaiveBayes.
---
R/pkg/R/mllib.R | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/R/pkg/R/mllib.R b/R/pkg/R/mllib.R
index dfc5a1c7df..6808aaea8c 100644
--- a/R/pkg/R/mllib.R
+++ b/R/pkg/R/mllib.R
@@ -747,10 +747,11 @@ setMethod("summary", signature(object = "MultilayerPerceptronClassificationModel
#' @export
#' @examples
#' \dontrun{
-#' df <- createDataFrame(infert)
+#' data <- as.data.frame(UCBAdmissions)
+#' df <- createDataFrame(data)
#'
#' # fit a Bernoulli naive Bayes model
-#' model <- spark.naiveBayes(df, education ~ ., smoothing = 0)
+#' model <- spark.naiveBayes(df, Admit ~ Gender + Dept, smoothing = 0)
#'
#' # get the summary of the model
#' summary(model)
--
GitLab