Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/4826#discussion_r25561465
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/util/modelSaveLoad.scala ---
@@ -110,7 +110,7 @@ private[mllib] object Loader {
assert(loadedFields.contains(field.name), s"Unable to parse model
data." +
s" Expected field with name ${field.name} was missing in loaded
schema:" +
s" ${loadedFields.mkString(", ")}")
- assert(loadedFields(field.name) == field.dataType,
+ assert(DataType.equalsIgnoreNullability(loadedFields(field.name),
field.dataType),
--- End diff --
@mengxr Is it OK to ignore the nullability of ArrayType (containsNull
field) and MapType (valueContainsNull field) in this check?
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