An easy-to-use ML framework
Project description
classicML
Python简单易用的经典机器学习框架
重要信息
你可以使用pip安装
pip install classicML
version v0.1
- 添加决策树
- 决策树支持离散值、连续值
- 基于信息熵、信息增益、基尼指数划分;支持预剪枝和后剪枝;暂不支持多变量决策树和缺失值处理(建议在读入数据集之前处理)
version v0.2
- 添加神经网络
- 神经网络支持交叉熵损失函数和均方误差损失函数;支持的优化器有GradientDescent、SGD、Adam
version v0.2.2
- 发行版发布到PyPi
version v0.2.3
- 添加径向基函数神经网络
- 例行修复BUG
version v0.2.4
- 重写sklearn依赖函数,添加到DecisionTree.tree_model.backend,显著减少安装后实际的环境大小
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