This is an example using Spark Machine Learning decision trees , written in Scala, to demonstrate How to get started with Spark ML on a MapR sandbox There are 1 datafile in this directory : rita2014jan.csv You will need to copy these files to your MapR sandbox, or wherever you have Spark installed. You can run these examples in the spark shell by putting the code from the scala file in the spark shell after launching: $spark-shell Or you can run the applications with these steps: Step 1: First compile the project: Select project -> Run As -> Maven Install Step 2: Copy the sparkflightmllab-1.0.jar to the sandbox To run the standalone : spark-submit --class solutions.FlightDelay --master yarn sparkflightmllab-1.0.jar