Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16117#discussion_r90783819
--- Diff: R/pkg/R/mllib.R ---
@@ -746,45 +744,35 @@ setMethod("predict", signature(object =
"KMeansModel"),
#' \dontrun{
#' sparkR.session()
#' # binary logistic regression
-#' label <- c(0.0, 0.0, 0.0, 1.0, 1.0)
-#' features <- c(1.1419053, 0.9194079, -0.9498666, -1.1069903, 0.2809776)
-#' binary_data <- as.data.frame(cbind(label, features))
-#' binary_df <- createDataFrame(binary_data)
-#' blr_model <- spark.logit(binary_df, label ~ features, thresholds = 1.0)
-#' blr_predict <- collect(select(predict(blr_model, binary_df),
"prediction"))
-#'
-#' # summary of binary logistic regression
-#' blr_summary <- summary(blr_model)
-#' blr_fmeasure <- collect(select(blr_summary$fMeasureByThreshold,
"threshold", "F-Measure"))
+#' df <- suppressWarnings(createDataFrame(iris))
--- End diff --
we tried not to have suppressWarnings in example - while a warning message
is not great (we have a JIRA on columns with `_`...) IMO it's best not to have
it in example which probably raises more questions for a causal reader.
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