Hyperactive – Easy Neural Architecture Search for Deep Learning in Python(github.com)
github.com
Hyperactive – Easy Neural Architecture Search for Deep Learning in Python
https://github.com/SimonBlanke/Hyperactive
6 comments
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.
Thank you very much :-) yes you can put anything you want into the search space. Even pandas dataframes, numpy arrays or classes. Here is an example: https://github.com/SimonBlanke/Hyperactive/blob/master/examp...
Interesting approach to nas. Can this package do optimization with the hyperband algorithm?
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 nice! Does it support multi gpu training during the search?
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...