具有不同基学习器的 AdaBoostClassifier [英] AdaBoostClassifier with different base learners

问题描述

我正在尝试将 AdaBoostClassifier 与 DecisionTree 以外的基础学习器一起使用.我尝试过 SVM 和 KNeighborsClassifier，但出现错误.AdaBoostClassifier 可以使用哪些分类器?

I am trying to use AdaBoostClassifier with a base learner other than DecisionTree. I have tried SVM and KNeighborsClassifier but I get errors. What are the classifiers that can be used with AdaBoostClassifier?

推荐答案

好的，我们有一个系统的方法来找出 AdaBoostClassifier 支持的所有基学习器.兼容base learner的fit方法需要支持sample_weight，运行如下代码即可获得:

Ok, we have a systematic method to find out all the base learners supported by AdaBoostClassifier. Compatible base learner's fit method needs to support sample_weight, which can be obtained by running following code:

import inspect
from sklearn.utils.testing import all_estimators
for name, clf in all_estimators(type_filter='classifier'):
    if 'sample_weight' in inspect.getargspec(clf().fit)[0]:
       print name

结果如下:

AdaBoostClassifier,
BernoulliNB,
DecisionTreeClassifier,
ExtraTreeClassifier,
ExtraTreesClassifier,
MultinomialNB,
NuSVC,
Perceptron,
RandomForestClassifier,
RidgeClassifierCV,
SGDClassifier,
SVC.

如果分类器没有实现predict_proba，则必须设置 AdaBoostClassifier 参数 algorithm = 'SAMME'.

If the classifier doesn't implement predict_proba, you will have to set AdaBoostClassifier parameter algorithm = 'SAMME'.

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