我如何知道RandomizedSearchCV测试了哪些参数？

Question

RandomizedSearchCV很有用，因为它不会尝试列出的所有参数。相反，它显示了一些并对其进行了测试以查看哪个更好。

但是我怎么知道测试了哪些参数？

例如，在下面的脚本中，测试了n_estimators，max_features和max_depth的哪些组合？ n_estimator = 10经过测试了吗？ n_estimator = 100经过测试了吗？

rf = RandomForestRegressor()

n_estimators = [int(x) for x in np.linspace(start=10, stop=2000, num=200)]
max_features = ["auto", "sqrt", "log2"]
max_depth = [int(x) for x in np.linspace(5, 500, num=100)]

random_grid = {
"n_estimators": n_estimators,
"max_features": max_features,
"max_depth": max_depth,
}

randomsearch = RandomizedSearchCV(rf, param_distributions=random_grid, cv=5)

randomsearch.fit(X_train, y_train)

Answer 1

属性class DummyTestClass(unittest.TestCase): my_guard = False is_this_the_cicd_jenkins_machine = SomeClass.is_this_the_cicd_jenkins_machine() @attr(testsuite='SUITE_1') def test_a_change_my_guard(self): # purpose of test is only to change the guard so that test b will be run if testsute SUITE_1 is selected form Jenkins print('test a') globals()['my_guard'] = True # my_guard = True # also trying this, still my_guard is still false in test_b @unittest.skipIf(my_guard is False, 'skip test_b') # @unittest.skipIf(globals()['my_guard'] is False, 'skip test b') compilation error # @unittest.skipIf(is_this_the_cicd_jenkins_machine, ‘script skipped’) # ugly solution @attr(testsuite='SUITE_1') def test_b(self): # controlled by guard print('test b') @attr(testsuite='SUITE_1') def test_c_to_be_run_in_suite_1(self): print('test c') 中提供了许多有关搜索的信息。将该dict导入数据框，您将为每个测试的超参数组合获得一行，其中包含超参数值，折叠和平均得分，可选的训练得分，训练时间等。