I have a DataFrame with a column containing a list of numeric features to be used for a regression. When I run the regression, I get the following error:
*pyspark.sql.utils.IllegalArgumentException: 'requirement failed: Column features must be of type org.apache.spark.ml.linalg.VectorUDT@3bfc3ba7 but was actually ArrayType(DoubleType,true).' * It would be nice if Spark could automatically convert the type, but assuming that isn't possible, what's the easiest way for me to do the conversion? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-convert-an-ArrayType-to-DenseVector-within-DataFrame-tp27625.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
