machine-learningscikit-learnadaboost

AdaBoostClassifier with different base learners

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?

Solution

  • 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

    This results in following output:

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

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