keras-team/keras-tuner

Then, start the search for the best hyperparameter configuration. The call to search has the same signature as model.fit(). Here's what happens in search: models are built iteratively by calling the model-building function, which populates the hyperparameter space (search space) tracked by the hp object. The tuner progressively explores the space, recording metrics for each configuration.