Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/15851#discussion_r87578281
--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -971,10 +971,15 @@ test_that("spark.randomForest Classification", {
predictions <- collect(predict(model, data))$prediction
expect_equal(length(grep("1.0", predictions)), 50)
expect_equal(length(grep("2.0", predictions)), 50)
+
+ # spark.randomForest classification can work on libsvm data
+ data <-
read.df(absoluteSparkPath("data/mllib/sample_multiclass_classification_data.txt"),
+ source = "libsvm")
+ model <- spark.randomForest(data, label ~ features, "classification")
+ expect_equal(summary(model)$numFeatures, 4)
})
-test_that("spark.gbt", {
- # regression
+test_that("spark.gbt regression", {
--- End diff --
Divide ```spark.gbt``` test case into two parts: regression and
classification. This will more clear and is consistent with
```spark.randomForest```.
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