链接：https://coding.imooc.com/learn/questiondetail/149701.html
1、老师，确实用的windows，还有解决的办法吗？
2、在哪添加verbose=0？
代码：

from scipy.stats import reciprocal
# f(x) = 1/(x*log(b/a)) a <= x <= b

param_distribution = {
    "hidden_layers":[1, 2, 3, 4],
    "layer_size": [5, 10, 20, 30],
    "learning_rate": [1e-4, 5e-5, 1e-3, 5e-3, 1e-2],
#     "layer_size": np.arange(1, 100),
#     "learning_rate": reciprocal(1e-4, 1e-2), 
    #连续取值，设置最大值和最小值即可。使用一个分布生成learning_rate
}

from sklearn.model_selection import RandomizedSearchCV

random_search_cv = RandomizedSearchCV(sklearn_model,
                                      param_distribution,
                                      n_iter = 10,#从param_distribution里sample出多少个参数集合
                                      cv = 3,
                                      n_jobs = 1) #有多少任务并行处理
random_search_cv.fit(x_train_scaled, y_train, epochs =100,
                     validation_data = (x_valid_scaled, y_valid),
                     callbacks = callbacks)