Metadata-Version: 2.1
Name: classicML
Version: 0.2.1rc1
Summary: An easy-to-use ML framework
Home-page: https://github.com/sun1638650145/classicML
Author: Steve Sun
Author-email: s1638650145@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.18.4)
Requires-Dist: pandas (>=1.0.3)
Requires-Dist: matplotlib (>=3.2.1)
Requires-Dist: scikit-learn (>=0.23.0)

# classicML 
Python自制经典机器学习框架
## 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
神经网络暂仅支持交叉熵损失函数；支持的优化器有GradientDescent、SGD、Adam


