温柔的形变模型分类器和两个不同的weak-learners决定树桩和感知。 问题是进行多层次的one-vs-all策略-Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron. Multi-class problem is performed with the one-vs-all strategy

实现了三种不同的AdaBoost算法:Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.-Realize the three different AdaBoost algorithm:Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.

目前支持这种分类器的boosting技术有四种： Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost。-Currently support this classifier boosting technology, there are four: Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost.

Code of optimal threshold optimization Gentle adaboost