I am glad you like it. Hyperband relies on early stopping of the model. So it is something you would do inside the objective function by yourself. I have plans to add some helper functions for early stopping in the future.
Looks very promising! I like that you can fill the search space with python objects. Is it possible to search through numpy arrays? This would be nice for feature selection.
Neural Architecture Search is just one of many optimization applications you can work on with Hyperactive. Check out the examples in the official github repository: https://github.com/SimonBlanke/Hyperactive/tree/master/examp...