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  1. Spark
  2. SPARK-12015

Auto convert int to Double when required in pyspark.ml

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    • Flags:
      Patch, Important

      Description

      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)

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              • Assignee:
                Unassigned
                Reporter:
                jamartinh Jose Antonio
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                  Updated:
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