具有不同基础学习者的AdaBoostClassifier [英] AdaBoostClassifier with different base learners

问题描述

我试图将AdaBoostClassifier与除DecisionTree以外的基础学习器一起使用.我已经尝试过SVM和KNeighborsClassifier，但出现错误.有人可以指出可以与AdaBoostClassifier一起使用的分类器吗?

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

推荐答案

好的，我们有一种系统的方法来找出AdaBoostClassifier支持的所有基础学习者.兼容的基础学习者的fit方法需要支持sample_weight，可以通过运行以下代码来获取它:

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

这将导致以下输出: AdaBoostClassifier， 伯努利(Bernoulli)NB， DecisionTreeClassifier， ExtraTreeClassifier， ExtraTreesClassifier， 多项式NB NuSVC， 感知器 RandomForestClassifier， RidgeClassifierCV， SGDClassifier， SVC.

This results in following output: AdaBoostClassifier, BernoulliNB, DecisionTreeClassifier, ExtraTreeClassifier, ExtraTreesClassifier, MultinomialNB, NuSVC, Perceptron, RandomForestClassifier, RidgeClassifierCV, SGDClassifier, SVC.

如果分类器未实现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'.

感谢Andreas展示了如何列出所有估算器.

Thanks to Andreas for showing how to list all estimators.

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