tofigh-/MaBoost

MaBoost is a binary and multiclass classification package. It is based on boosting method and contains different classifiation algorithms including: sparseboost which uses a percentage of samples at each boosting round, max-margin which guarantees to return the optimal hypothesis in the sense of maximum margin and smooth boosting which put smoothness constraint on boosting weights

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