本文整理汇总了Python中sklearn.compose.ColumnTransformer.get_params方法的典型用法代码示例。如果您正苦于以下问题：Python ColumnTransformer.get_params方法的具体用法？Python ColumnTransformer.get_params怎么用？Python ColumnTransformer.get_params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.compose.ColumnTransformer的用法示例。
在下文中一共展示了ColumnTransformer.get_params方法的3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_column_transformer_get_set_params_with_remainder
# 需要导入模块: from sklearn.compose import ColumnTransformer [as 别名]
# 或者: from sklearn.compose.ColumnTransformer import get_params [as 别名]
def test_column_transformer_get_set_params_with_remainder():
ct = ColumnTransformer([('trans1', StandardScaler(), [0])],
remainder=StandardScaler())
exp = {'n_jobs': 1,
'remainder': ct.remainder,
'remainder__copy': True,
'remainder__with_mean': True,
'remainder__with_std': True,
'trans1': ct.transformers[0][1],
'trans1__copy': True,
'trans1__with_mean': True,
'trans1__with_std': True,
'transformers': ct.transformers,
'transformer_weights': None}
assert ct.get_params() == exp
ct.set_params(remainder__with_std=False)
assert not ct.get_params()['remainder__with_std']
ct.set_params(trans1='passthrough')
exp = {'n_jobs': 1,
'remainder': ct.remainder,
'remainder__copy': True,
'remainder__with_mean': True,
'remainder__with_std': False,
'trans1': 'passthrough',
'transformers': ct.transformers,
'transformer_weights': None}
assert ct.get_params() == exp示例2: test_column_transformer_get_set_params
# 需要导入模块: from sklearn.compose import ColumnTransformer [as 别名]
# 或者: from sklearn.compose.ColumnTransformer import get_params [as 别名]
def test_column_transformer_get_set_params():
ct = ColumnTransformer([('trans1', StandardScaler(), [0]),
('trans2', StandardScaler(), [1])])
exp = {'n_jobs': 1,
'remainder': 'drop',
'trans1': ct.transformers[0][1],
'trans1__copy': True,
'trans1__with_mean': True,
'trans1__with_std': True,
'trans2': ct.transformers[1][1],
'trans2__copy': True,
'trans2__with_mean': True,
'trans2__with_std': True,
'transformers': ct.transformers,
'transformer_weights': None}
assert_dict_equal(ct.get_params(), exp)
ct.set_params(trans1__with_mean=False)
assert_false(ct.get_params()['trans1__with_mean'])
ct.set_params(trans1='passthrough')
exp = {'n_jobs': 1,
'remainder': 'drop',
'trans1': 'passthrough',
'trans2': ct.transformers[1][1],
'trans2__copy': True,
'trans2__with_mean': True,
'trans2__with_std': True,
'transformers': ct.transformers,
'transformer_weights': None}
assert_dict_equal(ct.get_params(), exp)示例3: test_column_transformer_no_estimators
# 需要导入模块: from sklearn.compose import ColumnTransformer [as 别名]
# 或者: from sklearn.compose.ColumnTransformer import get_params [as 别名]
def test_column_transformer_no_estimators():
X_array = np.array([[0, 1, 2],
[2, 4, 6],
[8, 6, 4]]).astype('float').T
ct = ColumnTransformer([], remainder=StandardScaler())
params = ct.get_params()
assert params['remainder__with_mean']
X_trans = ct.fit_transform(X_array)
assert X_trans.shape == X_array.shape
assert len(ct.transformers_) == 1
assert ct.transformers_[-1][0] == 'remainder'
assert ct.transformers_[-1][2] == [0, 1, 2]