本文整理汇总了Python中sklearn.feature_selection.SelectFpr.get_params方法的典型用法代码示例。如果您正苦于以下问题：Python SelectFpr.get_params方法的具体用法？Python SelectFpr.get_params怎么用？Python SelectFpr.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.feature_selection.SelectFpr的用法示例。
在下文中一共展示了SelectFpr.get_params方法的2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_clone
# 需要导入模块: from sklearn.feature_selection import SelectFpr [as 别名]
# 或者: from sklearn.feature_selection.SelectFpr import get_params [as 别名]
def test_clone():
"""Tests that clone creates a correct deep copy.
We create an estimator, make a copy of its original state
(which, in this case, is the current state of the setimator),
and check that the obtained copy is a correct deep copy.
"""
from sklearn.feature_selection import SelectFpr, f_classif
selector = SelectFpr(f_classif, alpha=0.1)
new_selector = clone(selector)
assert_true(selector is not new_selector)
assert_equal(selector.get_params(), new_selector.get_params())示例2: test_clone
# 需要导入模块: from sklearn.feature_selection import SelectFpr [as 别名]
# 或者: from sklearn.feature_selection.SelectFpr import get_params [as 别名]
def test_clone():
# Tests that clone creates a correct deep copy.
# We create an estimator, make a copy of its original state
# (which, in this case, is the current state of the estimator),
# and check that the obtained copy is a correct deep copy.
from sklearn.feature_selection import SelectFpr, f_classif
selector = SelectFpr(f_classif, alpha=0.1)
new_selector = clone(selector)
assert selector is not new_selector
assert_equal(selector.get_params(), new_selector.get_params())
selector = SelectFpr(f_classif, alpha=np.zeros((10, 2)))
new_selector = clone(selector)
assert selector is not new_selector