本文整理汇总了Python中sklearn.model_selection.GridSearchCV.__repr__方法的典型用法代码示例。如果您正苦于以下问题：Python GridSearchCV.__repr__方法的具体用法？Python GridSearchCV.__repr__怎么用？Python GridSearchCV.__repr__使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.model_selection.GridSearchCV的用法示例。
在下文中一共展示了GridSearchCV.__repr__方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_gridsearch
# 需要导入模块: from sklearn.model_selection import GridSearchCV [as 别名]
# 或者: from sklearn.model_selection.GridSearchCV import __repr__ [as 别名]
def test_gridsearch():
# render a gridsearch
param_grid = [{'kernel': ['rbf'], 'gamma': [1e-3, 1e-4],
'C': [1, 10, 100, 1000]},
{'kernel': ['linear'], 'C': [1, 10, 100, 1000]}]
gs = GridSearchCV(SVC(), param_grid, cv=5)
expected = """
GridSearchCV(cv=5, error_score='raise-deprecating',
estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3,
gamma='auto_deprecated', kernel='rbf', max_iter=-1,
probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False),
iid='warn', n_jobs=None,
param_grid=[{'C': [1, 10, 100, 1000], 'gamma': [0.001, 0.0001],
'kernel': ['rbf']},
{'C': [1, 10, 100, 1000], 'kernel': ['linear']}],
pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
scoring=None, verbose=0)"""
expected = expected[1:] # remove first \n
assert gs.__repr__() == expected