True, while the AdaNet project doesn’t currently include the most advanced architecture search policies/search spaces out of the box, it does provide an abstrac

True, while the AdaNet project doesn’t currently include the most advanced architecture search policies/search spaces out of the box, it does provide an abstraction (adanet.subnetwork.Generator) for researchers to implement their neural architecture search algorithms, while exposing a production-friendly TF Estimator interface for users. This makes it easier for developments in algorithms to be integrated into production, and for users who are already plugged into the TF Estimator ecosystem to benefit from these developments sooner. I would like to point out though, that even though some aspects of AdaNet aren't as advanced as they could be, we have seen good results with AdaNet on a wide variety of tasks. Try it on yours and see! And of course, we are not going to stop after exposing an interface! We are excited to work in this space ourselves too, and we will continue to update this project as we make progress.