I was playing around with Amazon ML and built a quick hyperparameter optimization example based on Amazon's GitHub example for k-fold cross validation. I'm an engineer at SigOpt so there's a SigOpt example, but I've also included a non-SigOpt hyperparameter optimization pipeline that updates the old Amazon k-fold cross validation example to boto3, runs as a single file, and lets you provide a list of hyperparameters upfront. Let me know if you do something cool with this!
