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-rw-r--r--R/pkg/inst/tests/testthat/test_mllib.R12
1 files changed, 6 insertions, 6 deletions
diff --git a/R/pkg/inst/tests/testthat/test_mllib.R b/R/pkg/inst/tests/testthat/test_mllib.R
index dcd0296a3c..37d87aa8a0 100644
--- a/R/pkg/inst/tests/testthat/test_mllib.R
+++ b/R/pkg/inst/tests/testthat/test_mllib.R
@@ -132,7 +132,7 @@ test_that("spark.glm save/load", {
m <- spark.glm(training, Sepal_Width ~ Sepal_Length + Species)
s <- summary(m)
- modelPath <- tempfile(pattern = "glm", fileext = ".tmp")
+ modelPath <- tempfile(pattern = "spark-glm", fileext = ".tmp")
write.ml(m, modelPath)
expect_error(write.ml(m, modelPath))
write.ml(m, modelPath, overwrite = TRUE)
@@ -291,7 +291,7 @@ test_that("spark.kmeans", {
take(training, 1)
- model <- spark.kmeans(data = training, k = 2)
+ model <- spark.kmeans(data = training, ~ ., k = 2)
sample <- take(select(predict(model, training), "prediction"), 1)
expect_equal(typeof(sample$prediction), "integer")
expect_equal(sample$prediction, 1)
@@ -310,7 +310,7 @@ test_that("spark.kmeans", {
expect_equal(sort(collect(distinct(select(cluster, "prediction")))$prediction), c(0, 1))
# Test model save/load
- modelPath <- tempfile(pattern = "kmeans", fileext = ".tmp")
+ modelPath <- tempfile(pattern = "spark-kmeans", fileext = ".tmp")
write.ml(model, modelPath)
expect_error(write.ml(model, modelPath))
write.ml(model, modelPath, overwrite = TRUE)
@@ -324,7 +324,7 @@ test_that("spark.kmeans", {
unlink(modelPath)
})
-test_that("naiveBayes", {
+test_that("spark.naiveBayes", {
# R code to reproduce the result.
# We do not support instance weights yet. So we ignore the frequencies.
#
@@ -377,7 +377,7 @@ test_that("naiveBayes", {
"Yes", "Yes", "No", "No"))
# Test model save/load
- modelPath <- tempfile(pattern = "naiveBayes", fileext = ".tmp")
+ modelPath <- tempfile(pattern = "spark-naiveBayes", fileext = ".tmp")
write.ml(m, modelPath)
expect_error(write.ml(m, modelPath))
write.ml(m, modelPath, overwrite = TRUE)
@@ -434,7 +434,7 @@ test_that("spark.survreg", {
2.390146, 2.891269, 2.891269), tolerance = 1e-4)
# Test model save/load
- modelPath <- tempfile(pattern = "survreg", fileext = ".tmp")
+ modelPath <- tempfile(pattern = "spark-survreg", fileext = ".tmp")
write.ml(model, modelPath)
expect_error(write.ml(model, modelPath))
write.ml(model, modelPath, overwrite = TRUE)