Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
There are around 33 binary incompatibility issues as I made this a shared
param. Some of them from build logs are below
```scala
[error] * abstract synthetic method
org$apache$spark$ml$param$shared$HasIntermediateStorageLevel$_setter_$intermediateStorageLevel_=(org.apache.spark.ml.param.Param)Unit
in trait org.apache.spark.ml.param.shared.HasIntermediateStorageLevel is
inherited by class ALSParams in current version.
[error] filter with:
ProblemFilters.exclude[InheritedNewAbstractMethodProblem]("org.apache.spark.ml.param.shared.HasIntermediateStorageLevel.org$apache$spark$ml$param$shared$HasIntermediateStorageLevel$_setter_$intermediateStorageLevel_=")
[error] * method getIntermediateStorageLevel()java.lang.String in class
org.apache.spark.ml.recommendation.ALS is declared final in current version
[error] filter with:
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.recommendation.ALS.getIntermediateStorageLevel")
[error] * method intermediateStorageLevel()org.apache.spark.ml.param.Param
in class org.apache.spark.ml.recommendation.ALS is declared final in current
version
[error] filter with:
ProblemFilters.exclude[FinalMethodProblem]("org.apache.spark.ml.recommendation.ALS.intermediateStorageLevel")
[error] * abstract synthetic method
org$apache$spark$ml$param$shared$HasIntermediateStorageLevel$_setter_$intermediateStorageLevel_=(org.apache.spark.ml.param.Param)Unit
in trait org.apache.spark.ml.param.shared.HasIntermediateStorageLevel is
inherited by class RandomForestRegressorParams in current version.
```
Should I add them to the exclude file?
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