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So far I've only seen model.summary() or

best_hps=tuner.get_best_hyperparameters(num_trials=1)[0]
best_hps.get('num_layers')
best_hps.get('units_1')
best_hps.get('units_2')
best_hps.get('activation_1')
best_hps.get('activation_2')

Is there a way to obtain all best hyperparameters at once without having to use a function to call each? model.summary() is on the other hand not very informative.

Caterina
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    Try `tuner.results_summary()`. More info can be found in this guide: https://keras.io/guides/keras_tuner/getting_started/ – learner Dec 01 '22 at 11:54

0 Answers0