Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/12790
@BryanCutler I found when fitting a Scala Pipeline with no stages,
```
val pipeline = new Pipeline()
val model = pipeline.fit(df)
```
it throw exceptions:
```
Failed to find a default value for stages
java.util.NoSuchElementException: Failed to find a default value for stages
at
org.apache.spark.ml.param.Params$$anonfun$getOrDefault$2.apply(params.scala:660)
at
org.apache.spark.ml.param.Params$$anonfun$getOrDefault$2.apply(params.scala:660)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.ml.param.Params$class.getOrDefault(params.scala:659)
at org.apache.spark.ml.PipelineStage.getOrDefault(Pipeline.scala:42)
at org.apache.spark.ml.param.Params$class.$(params.scala:664)
at org.apache.spark.ml.PipelineStage.$(Pipeline.scala:42)
at org.apache.spark.ml.Pipeline.transformSchema(Pipeline.scala:177)
at org.apache.spark.ml.PipelineStage.transformSchema(Pipeline.scala:70)
at org.apache.spark.ml.Pipeline.fit(Pipeline.scala:132)
```
I'm more prefer to make Scala and Python have consistent behavior.
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