Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/11486#discussion_r56289840
--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -141,3 +141,26 @@ test_that("kmeans", {
cluster <- summary.model$cluster
expect_equal(sort(collect(distinct(select(cluster,
"prediction")))$prediction), c(0, 1))
})
+
+test_that("naiveBayes", {
+ training <- suppressWarnings(createDataFrame(sqlContext, iris))
--- End diff --
`iris` is not a good dataset for naive Bayes. @yinxusen Could you take a
look at other base datasets that come with R?
https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html It
would be great if we can find one with categorical labels and count data.
Otherwise, we can make a really simple one here.
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