Spark, Distributed Systems, Machine Learning, Hadoop, Scalability.
model.transform(). You can also do Distributed Hyper Parameter Tuning, i.e. to run the same architecture on multiple boxes with different hyper-parameters. However, to distributively store and train one big model in the VRAM of GPUs in different boxes is slightly intricate. ML Algorithms in Spark: