添加这下面你的调谐器搜索：

# Get the optimal hyperparameters
best_hps=tuner.get_best_hyperparameters(num_trials=1)[0]

print(f"""
The hyperparameter search is complete. The optimal number of units in the first densely-connected
layer is {best_hps.get('units')} and the optimal learning rate for the optimizer
is {best_hps.get('learning_rate')}.
""")

在这里你可以看到你可以从tuner.get_best_hyperparameters（）得到你的超参数，它会返回一个包含结果的字典，你也可以使用best_hps. values来查看里面还有什么。
此外还有

`tuner.results_summary(num_trials=10)`

#Display tuning results summary.
#The method prints a summary of the search results including the hyperparameter values and evaluation results for each trial.

更多信息请访问：www.example.comhttps://keras.io/api/keras_tuner/tuners/base_tuner/#results_summary-method