Setting approxQuantileRelativeError using Scala or Python API of branch spark3 returns the following error. Is there an easy way to fix this? Thank you in advance!
java.lang.UnsupportedOperationException: The default jsonEncode only supports string, vector and matrix. org.apache.spark.ml.param.Param must override jsonEncode for java.lang.Double.
at org.apache.spark.ml.param.Param.jsonEncode(params.scala:100)
at org.apache.spark.ml.util.Instrumentation.$anonfun$logParams$2(Instrumentation.scala:109)
at scala.Option.map(Option.scala:230)
at org.apache.spark.ml.util.Instrumentation.$anonfun$logParams$1(Instrumentation.scala:106)
at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38)
at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:108)
at org.apache.spark.ml.util.Instrumentation.logParams(Instrumentation.scala:105)
at org.apache.spark.ml.iforest.IForest.$anonfun$fit$1(IForest.scala:503)
at org.apache.spark.ml.util.Instrumentation$.$anonfun$instrumented$1(Instrumentation.scala:191)
at scala.util.Try$.apply(Try.scala:213)
at org.apache.spark.ml.util.Instrumentation$.instrumented(Instrumentation.scala:191)
at org.apache.spark.ml.iforest.IForest.fit(IForest.scala:495)
... 47 elided
It looks like the default parameter jsonEncode has changed and doesn't fit for double .. I think you can have a try by converting the param type from double to str..
Setting approxQuantileRelativeError using Scala or Python API of branch spark3 returns the following error. Is there an easy way to fix this? Thank you in advance!