Apache Spark 2.x Machine Learning Cookbook

How it works...

We read the housing data and load selected columns and use them to predict the price of a housing unit. We use the following code snippet to select the regression as LASSO and let Spark pick up the optimization on its own:

val lr = new LinearRegression().setMaxIter(1000).setElasticNetParam(0.0).setRegParam(0.01).setSolver( "auto" )

We change the setMaxIter() to 1000 for demonstration purposes. The default setting is 100 out of the box.