返回adaboost python中使用的模型

Question

在支持向量机上应用adaboost之后，我想知道adaboost算法中使用的模型(它们的参数)。

ada=AdaBoostClassifier(n_estimators=10, base_estimator=SVC(probability=True)) 
ada.fit(x_train,y_train)

如何查找adaboost.Thank中使用的模型

Answer 1

AdaBoostClassifier对象的estimators_字段包含每个模型。查看这些模型的详细信息将取决于构建它们所使用的内容。例如，您可能需要在下面的示例中查看如何查找如何获取DecisionTreeClassifier的信息：

>>> from sklearn.datasets import load_iris
>>> from sklearn.ensemble import AdaBoostClassifier
>>> 
>>> iris = load_iris()
>>> clf = AdaBoostClassifier(n_estimators=2)
>>> clf.fit(iris.data, iris.target)
AdaBoostClassifier(algorithm='SAMME.R',
          base_estimator=DecisionTreeClassifier(compute_importances=None, criterion='gini',
            max_depth=1, max_features=None, min_density=None,
            min_samples_leaf=1, min_samples_split=2, random_state=None,
            splitter='best'),
          learning_rate=1.0, n_estimators=2, random_state=None)
>>> clf.estimators_
[DecisionTreeClassifier(compute_importances=None, criterion='gini',
            max_depth=1, max_features=None, min_density=None,
            min_samples_leaf=1, min_samples_split=2, random_state=None,
            splitter='best'), DecisionTreeClassifier(compute_importances=None, criterion='gini',
            max_depth=1, max_features=None, min_density=None,
            min_samples_leaf=1, min_samples_split=2, random_state=None,
            splitter='best')]
>>> 
>>> #first model
... clf.estimators_[0]
DecisionTreeClassifier(compute_importances=None, criterion='gini',
            max_depth=1, max_features=None, min_density=None,
            min_samples_leaf=1, min_samples_split=2, random_state=None,
            splitter='best')
>>> #second model
... clf.estimators_[1]
DecisionTreeClassifier(compute_importances=None, criterion='gini',
            max_depth=1, max_features=None, min_density=None,
            min_samples_leaf=1, min_samples_split=2, random_state=None,
            splitter='best')