Re: Trainning a spark ml linear regresion model fail after migrating from 1.5.2 to 1.6.1

I ran into this problem too - it's because WeightedLeastSquares (added in 1.6.0 SPARK-10668) is being used on an ill-conditioned problem (SPARK-11918). I guess because of the one hot encoding. To get around it you need to ensure WeightedLeastSquares isn't used. Set parameters to make the following

Jdbc connection from sc.addJar failing

Hi all, I'm a bit stuck with a problem that I thought was solved in SPARK-6913 but can't seem to get it to work. I'm programatically adding a jar (sc.addJar(pathToJar)) after the SparkContext is created then using the driver from the jar to load a table through sqlContext.read.jdbc(). When I