本文整理汇总了Python中sklearn.tree.ExtraTreeClassifier方法的典型用法代码示例。如果您正苦于以下问题：Python tree.ExtraTreeClassifier方法的具体用法？Python tree.ExtraTreeClassifier怎么用？Python tree.ExtraTreeClassifier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.tree的用法示例。
在下文中一共展示了tree.ExtraTreeClassifier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_objectmapper
# 需要导入模块: from sklearn import tree [as 别名]
# 或者: from sklearn.tree import ExtraTreeClassifier [as 别名]
def test_objectmapper(self):
df = pdml.ModelFrame([])
self.assertIs(df.tree.DecisionTreeClassifier, tree.DecisionTreeClassifier)
self.assertIs(df.tree.DecisionTreeRegressor, tree.DecisionTreeRegressor)
self.assertIs(df.tree.ExtraTreeClassifier, tree.ExtraTreeClassifier)
self.assertIs(df.tree.ExtraTreeRegressor, tree.ExtraTreeRegressor)
self.assertIs(df.tree.export_graphviz, tree.export_graphviz) 示例2: build_separate_tree
# 需要导入模块: from sklearn import tree [as 别名]
# 或者: from sklearn.tree import ExtraTreeClassifier [as 别名]
def build_separate_tree(X,y,max_features,max_depth,min_samples_split):
clf = ExtraTreeClassifier(max_features=max_features,max_depth=max_depth,min_samples_split=min_samples_split)
clf = clf.fit(X,y)
return clf