On 10/03/2014 11:10 AM, Olivier Grisel wrote: > 2014-09-27 4:51 GMT+02:00 Mathieu Blondel <math...@mblondel.org>: >> This is because LinearSVC doesn't support sample_weight. >> >> I added a new issue for raising a more explicit error message: >> https://github.com/scikit-learn/scikit-learn/issues/3711 >> >> BTW, a linear combination of linear models is a linear model itself. So you >> can't learn a better model than a LinearSVC() with >> AdaBoostClassifier(svm.LinearSVC()) > While adaboosted linear SVM and vanilla linear SVM are both linear > models I'm pretty sure that is wrong, unless you use the "decision_function" and not "predict_proba" or "predict". Mathieu said "predict" is used. Then it is still like a (very old school) neural network with a thresholding layer, and not like a linear model at all.
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