Auto convert int to Double when required in pyspark.ml

I have received the following exception:

Why we cannot pass an integer when the required parameter is Double?

I think this should be upcasted silently.

java.lang.IllegalArgumentException: requirement failed: Column label must be of type DoubleType but was actually IntegerType.
at scala.Predef$.require(Predef.scala:233)
at org.apache.spark.ml.util.SchemaUtils$.checkColumnType(SchemaUtils.scala:42)
at org.apache.spark.ml.PredictorParams$class.validateAndTransformSchema(Predictor.scala:53)
at org.apache.spark.ml.classification.Classifier.org$apache$spark$ml$classification$ClassifierParams$$super$validateAndTransformSchema(Classifier.scala:56)