Jose Antonio created SPARK-12015:
------------------------------------
Summary: 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
Fix For: 1.6.0
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
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
