Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/18496#discussion_r125522676
--- Diff: R/pkg/tests/fulltests/test_mllib_tree.R ---
@@ -212,6 +212,23 @@ test_that("spark.randomForest", {
expect_equal(length(grep("1.0", predictions)), 50)
expect_equal(length(grep("2.0", predictions)), 50)
+ # Test unseen labels
+ data <- data.frame(clicked = base::sample(c(0, 1), 10, replace = TRUE),
+ someString = base::sample(c("this", "that"), 10,
replace = TRUE),
+ stringsAsFactors = FALSE)
+ trainidxs <- base::sample(nrow(data), nrow(data) * 0.7)
+ traindf <- as.DataFrame(data[trainidxs, ])
+ testdf <- as.DataFrame(rbind(data[-trainidxs, ], c(0, "the other")))
+ model <- spark.randomForest(traindf, clicked ~ ., type =
"classification",
+ maxDepth = 10, maxBins = 10, numTrees = 10)
+ predictions <- predict(model, testdf)
+ expect_error(collect(predictions))
--- End diff --
actually, this is a bit strange - so the spark.randomForest call and
predict runs successfully, only fails when the predictions are collected?
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