Jacek Laskowski created SPARK-14023: ---------------------------------------
Summary: Make descriptions in exceptions thrown consistent regarding fields and columns Key: SPARK-14023 URL: https://issues.apache.org/jira/browse/SPARK-14023 Project: Spark Issue Type: Improvement Components: MLlib Affects Versions: 2.0.0 Reporter: Jacek Laskowski Priority: Minor As you can see below, a column is called a field depending on where an exception is thrown. I think it should be "column" everywhere (since that's what has a type from a schema). {code} scala> lr res32: org.apache.spark.ml.regression.LinearRegression = linReg_d9bfe808e743 scala> lr.fit(ds) java.lang.IllegalArgumentException: Field "features" does not exist. at org.apache.spark.sql.types.StructType$$anonfun$apply$1.apply(StructType.scala:214) at org.apache.spark.sql.types.StructType$$anonfun$apply$1.apply(StructType.scala:214) at scala.collection.MapLike$class.getOrElse(MapLike.scala:128) at scala.collection.AbstractMap.getOrElse(Map.scala:59) at org.apache.spark.sql.types.StructType.apply(StructType.scala:213) at org.apache.spark.ml.util.SchemaUtils$.checkColumnType(SchemaUtils.scala:40) at org.apache.spark.ml.PredictorParams$class.validateAndTransformSchema(Predictor.scala:50) at org.apache.spark.ml.Predictor.validateAndTransformSchema(Predictor.scala:71) at org.apache.spark.ml.Predictor.transformSchema(Predictor.scala:116) at org.apache.spark.ml.PipelineStage.transformSchema(Pipeline.scala:67) at org.apache.spark.ml.Predictor.fit(Predictor.scala:89) ... 51 elided scala> lr.fit(ds) java.lang.IllegalArgumentException: requirement failed: Column label must be of type DoubleType but was actually StringType. at scala.Predef$.require(Predef.scala:219) at org.apache.spark.ml.util.SchemaUtils$.checkColumnType(SchemaUtils.scala:42) at org.apache.spark.ml.PredictorParams$class.validateAndTransformSchema(Predictor.scala:53) at org.apache.spark.ml.Predictor.validateAndTransformSchema(Predictor.scala:71) at org.apache.spark.ml.Predictor.transformSchema(Predictor.scala:116) at org.apache.spark.ml.PipelineStage.transformSchema(Pipeline.scala:67) at org.apache.spark.ml.Predictor.fit(Predictor.scala:89) ... 51 elided {code} -- 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