本文整理汇总了Python中sklearn.feature_selection.SelectFwe方法的典型用法代码示例。如果您正苦于以下问题：Python feature_selection.SelectFwe方法的具体用法？Python feature_selection.SelectFwe怎么用？Python feature_selection.SelectFwe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的用法示例。
在下文中一共展示了feature_selection.SelectFwe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_objectmapper
# 需要导入模块: from sklearn import feature_selection [as 别名]
# 或者: from sklearn.feature_selection import SelectFwe [as 别名]
def test_objectmapper(self):
df = pdml.ModelFrame([])
self.assertIs(df.feature_selection.GenericUnivariateSelect,
fs.GenericUnivariateSelect)
self.assertIs(df.feature_selection.SelectPercentile,
fs.SelectPercentile)
self.assertIs(df.feature_selection.SelectKBest, fs.SelectKBest)
self.assertIs(df.feature_selection.SelectFpr, fs.SelectFpr)
self.assertIs(df.feature_selection.SelectFromModel,
fs.SelectFromModel)
self.assertIs(df.feature_selection.SelectFdr, fs.SelectFdr)
self.assertIs(df.feature_selection.SelectFwe, fs.SelectFwe)
self.assertIs(df.feature_selection.RFE, fs.RFE)
self.assertIs(df.feature_selection.RFECV, fs.RFECV)
self.assertIs(df.feature_selection.VarianceThreshold,
fs.VarianceThreshold)