文件名称:online_boosting-master
介绍说明--下载内容均来自于网络,请自行研究使用
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
......................\.gitignore
......................\README.md
......................\__init__.py
......................\ensemblers
......................\..........\__init__.py
......................\..........\adaboost.py
......................\..........\expboost.py
......................\..........\ocpboost.py
......................\..........\ogboost.py
......................\..........\osboost.py
......................\..........\smoothboost.py
......................\learners
......................\........\__init__.py
......................\........\ce_knn.py
......................\........\decision_tree.py
......................\........\dtree.py
......................\........\histogram.py
......................\........\knn.py
......................\........\mlp.py
......................\........\mlp2.py
......................\........\naive_bayes_binary.py
......................\........\naive_bayes_gaussian.py
......................\........\perceptron.py
......................\........\random_stump.py
......................\........\sk_decision_tree.py
......................\........\sk_naive_bayes.py
......................\........\sk_wrapper.py
......................\........\winnow.py
......................\main.py
......................\main_choice.py
......................\main_num_learners.py
......................\requirements.txt
......................\utils
......................\.....\__init__.py
......................\.....\experiment.py
......................\.....\test.py
......................\.....\utils.py