Adaboost seems to always enforce dense arrays, irrespective of the base
estimator:
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/ensemble/weight_boosting.py#L93
It should at least be possible to use Adaboost with sparse matrices if the
base estimator supports them (which is the
2013/11/22 Yi Pan :
> Dear scikit-learn persons,
>
> This is Pan Yi from the University of Washington, US. I am currently working
> on a course project, exploring the performance of AdaBoostClassifier when
> using the same base classifier, such as DecisionTreeClassifier, Perceptron,
>
> KNeighborsC
Dear scikit-learn persons,
This is Pan Yi from the University of Washington, US. I am currently
working on a course project, exploring the performance of
AdaBoostClassifier when using the same base classifier, such as
DecisionTreeClassifier, Perceptron,
KNeighborsClassifier, or mixing different c
