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maxpumperla / hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
http://maxpumperla.com/hyperas/
MIT License
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Can Hyperas natively return data regarding all models ran during an optimization cycle? #286

Open michaelmontalbano opened 2 years ago

michaelmontalbano commented 2 years ago

For example, if I test dropout and l2_regularization through hyperas optimization, is there a way to return the set of data which relates the loss metrics of each NN configuration? Or would I have to hardcode that utility myself, likely using pandas?

JonnoFTW commented 2 years ago

Everything returned in the function you want to minimise should be accessible from the Trials object. Of course, you can always have your function output to disk or a database or w/e you like.