Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/19588#discussion_r148444218
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/VectorIndexer.scala ---
@@ -311,22 +342,39 @@ class VectorIndexerModel private[ml] (
// TODO: Check more carefully about whether this whole class will be
included in a closure.
/** Per-vector transform function */
- private val transformFunc: Vector => Vector = {
+ private lazy val transformFunc: Vector => Vector = {
val sortedCatFeatureIndices = categoryMaps.keys.toArray.sorted
val localVectorMap = categoryMaps
val localNumFeatures = numFeatures
+ val localHandleInvalid = getHandleInvalid
val f: Vector => Vector = { (v: Vector) =>
assert(v.size == localNumFeatures, "VectorIndexerModel expected
vector of length" +
s" $numFeatures but found length ${v.size}")
+ val exceptMsg = "VectorIndexer encountered NULL value. To handle" +
--- End diff --
I'm afraid the message here is kind of misleading. This is for the case
that VectorIndexerModel met a value that not in the "training data", right?
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