This project forked from mrdavidg/tradaboost_icml2007
This is an implementation of TrAdaBoost of the paper "Boosting for transfer learning" (icml 2007).
此代码是实现了icml 2007论文Boosting for transfer learning中的TrAdaBoost方法，并且附带实现了其实验部分纯数值型特征的mushroom数据集。
其中数据集已经经过粗略的编码，用数值来代替特征，详细数据处理的在dataset_mushroom.py里。
试验参数按照论文icml07中实验的设置
在mushroom上的实验并没有收敛，最后的加权error rate仍然在0.49+左右，并且最后模型的预测结果并不是很好。
欢迎探讨或是纠正代码中存在的错误。
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