Spark, Distributed Systems, Machine Learning, Hadoop, Scalability.
PySpark’s RandomForestRegressor to do the same above. To feed in features to machine learning models in Spark MLlib, you need to merge multiple columns into a vector column, using the VectorAssembler module in Spark ML library. Fig 9. Features are combined using VectorAssembler Then, you can run