本文整理汇总了Python中imblearn.over_sampling.RandomOverSampler.fit方法的典型用法代码示例。如果您正苦于以下问题：Python RandomOverSampler.fit方法的具体用法？Python RandomOverSampler.fit怎么用？Python RandomOverSampler.fit使用的例子？那么, 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imblearn.over_sampling.RandomOverSampler的用法示例。
在下文中一共展示了RandomOverSampler.fit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_sample_wrong_X
# 需要导入模块: from imblearn.over_sampling import RandomOverSampler [as 别名]
# 或者: from imblearn.over_sampling.RandomOverSampler import fit [as 别名]
def test_sample_wrong_X():
"""Test either if an error is raised when X is different at fitting
and sampling"""
# Create the object
ros = RandomOverSampler(random_state=RND_SEED)
ros.fit(X, Y)
assert_raises(RuntimeError, ros.sample, np.random.random((100, 40)),
np.array([0] * 50 + [1] * 50))示例2: test_ros_fit
# 需要导入模块: from imblearn.over_sampling import RandomOverSampler [as 别名]
# 或者: from imblearn.over_sampling.RandomOverSampler import fit [as 别名]
def test_ros_fit():
"""Test the fitting method"""
# Create the object
ros = RandomOverSampler(random_state=RND_SEED)
# Fit the data
ros.fit(X, Y)
# Check if the data information have been computed
assert_equal(ros.min_c_, 0)
assert_equal(ros.maj_c_, 1)
assert_equal(ros.stats_c_[0], 3)
assert_equal(ros.stats_c_[1], 7)