thanks for the sample code!
this is what i hope to achieve with automlpipeline, i.e., coding the feature extraction, feature engineering and modeling in a simple easy to understand manner such that it becomes easy to attack ML problems using elegant syntax borrowed from unix pipes.
please feel free to do a PR if you want to extend automlpipeline for regression. ill add an implementation once i finish the code for openml benchmarks which is in my priority at the moment.
you can try @distributed since each crossvalidation is independent.