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https://issues.apache.org/jira/browse/SPARK-12015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15147057#comment-15147057
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Amit Ranjit commented on SPARK-12015:
-------------------------------------
I can take a look at this if someone can point me where the issue is (or have a
test code which fails).
> Auto convert int to Double when required in pyspark.ml
> ------------------------------------------------------
>
> Key: SPARK-12015
> URL: https://issues.apache.org/jira/browse/SPARK-12015
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
> Affects Versions: 1.5.2
> Reporter: Jose Antonio
> Labels: ml, py4j, pyspark, type-converter
>
> 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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