文件名称:online_boosting-master
介绍说明－－下载内容来自于网络，使用问题请自行百度
On line boost程序，应用了adeboost的算法的基本框架，并有所改进-On line boost program
(系统自动生成,下载前可以参看下载内容)
下载文件列表
online_boosting-master/
online_boosting-master/.gitignore
online_boosting-master/README.md
online_boosting-master/__init__.py
online_boosting-master/ensemblers/
online_boosting-master/ensemblers/__init__.py
online_boosting-master/ensemblers/adaboost.py
online_boosting-master/ensemblers/expboost.py
online_boosting-master/ensemblers/ocpboost.py
online_boosting-master/ensemblers/ogboost.py
online_boosting-master/ensemblers/osboost.py
online_boosting-master/ensemblers/smoothboost.py
online_boosting-master/learners/
online_boosting-master/learners/__init__.py
online_boosting-master/learners/ce_knn.py
online_boosting-master/learners/decision_tree.py
online_boosting-master/learners/dtree.py
online_boosting-master/learners/histogram.py
online_boosting-master/learners/knn.py
online_boosting-master/learners/mlp.py
online_boosting-master/learners/mlp2.py
online_boosting-master/learners/naive_bayes_binary.py
online_boosting-master/learners/naive_bayes_gaussian.py
online_boosting-master/learners/perceptron.py
online_boosting-master/learners/random_stump.py
online_boosting-master/learners/sk_decision_tree.py
online_boosting-master/learners/sk_naive_bayes.py
online_boosting-master/learners/sk_wrapper.py
online_boosting-master/learners/winnow.py
online_boosting-master/main.py
online_boosting-master/main_choice.py
online_boosting-master/main_num_learners.py
online_boosting-master/requirements.txt
online_boosting-master/utils/
online_boosting-master/utils/__init__.py
online_boosting-master/utils/experiment.py
online_boosting-master/utils/test.py
online_boosting-master/utils/utils.py
online_boosting-master/.gitignore
online_boosting-master/README.md
online_boosting-master/__init__.py
online_boosting-master/ensemblers/
online_boosting-master/ensemblers/__init__.py
online_boosting-master/ensemblers/adaboost.py
online_boosting-master/ensemblers/expboost.py
online_boosting-master/ensemblers/ocpboost.py
online_boosting-master/ensemblers/ogboost.py
online_boosting-master/ensemblers/osboost.py
online_boosting-master/ensemblers/smoothboost.py
online_boosting-master/learners/
online_boosting-master/learners/__init__.py
online_boosting-master/learners/ce_knn.py
online_boosting-master/learners/decision_tree.py
online_boosting-master/learners/dtree.py
online_boosting-master/learners/histogram.py
online_boosting-master/learners/knn.py
online_boosting-master/learners/mlp.py
online_boosting-master/learners/mlp2.py
online_boosting-master/learners/naive_bayes_binary.py
online_boosting-master/learners/naive_bayes_gaussian.py
online_boosting-master/learners/perceptron.py
online_boosting-master/learners/random_stump.py
online_boosting-master/learners/sk_decision_tree.py
online_boosting-master/learners/sk_naive_bayes.py
online_boosting-master/learners/sk_wrapper.py
online_boosting-master/learners/winnow.py
online_boosting-master/main.py
online_boosting-master/main_choice.py
online_boosting-master/main_num_learners.py
online_boosting-master/requirements.txt
online_boosting-master/utils/
online_boosting-master/utils/__init__.py
online_boosting-master/utils/experiment.py
online_boosting-master/utils/test.py
online_boosting-master/utils/utils.py