[ https://issues.apache.org/jira/browse/SPARK-12015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nick Pentreath closed SPARK-12015. ---------------------------------- Resolution: Duplicate > 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) -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org