uros-b commented on code in PR #57552:
URL: https://github.com/apache/spark/pull/57552#discussion_r3657743301
##########
mllib/src/test/scala/org/apache/spark/ml/feature/RFormulaSuite.scala:
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@@ -54,6 +54,15 @@ class RFormulaSuite extends MLTest with DefaultReadWriteTest
{
ParamsSuite.checkParams(new RFormula())
}
+ test("RFormulaModel estimated size") {
+ val dataset = Seq(("a", 1.0), ("b", 2.0), ("c", 3.0)).toDF("category",
"label")
+ val model = new RFormula().setFormula("label ~ category").fit(dataset)
+ val maxSize = 1024 * 16
+ assert(
+ model.estimatedSize < maxSize,
+ s"Estimation (${model.estimatedSize}) should be less than $maxSize")
+ }
Review Comment:
The new test asserts only an upper bound (estimatedSize < 16KiB). It
genuinely fails without the fix (the default walk blows past 16KiB via
SparkSession), so it is a real regression guard, but a buggy implementation
returning 0 or a too-small value would also pass. Please add a lower bound to
match that standard from predecessor PRs.
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