程序使用pure python,不借助任何第三方库(包括numpy)。
工具库 包括:
- 一些numpy算法
- 拉格朗日均值
- 数据差分算法
- 旧的装箱算法(首次适应和多重背包)
ExponentialSmooth.py ———— 二次三次指数平滑
LinearRegression.py ———— 一元二元线性回归
RandomForestRegression.py ———— 随机森林回归
SimulateAnneal.py ———— 模拟退火(用于对预测出来的虚拟机部署)
华为2018软件精英挑战赛初赛代码,pure python without numpy,实现拉格朗日均值、线性回归、随机森林、指数平滑、模拟退火等算法。
程序使用pure python,不借助任何第三方库(包括numpy)。
工具库 包括:
ExponentialSmooth.py ———— 二次三次指数平滑
LinearRegression.py ———— 一元二元线性回归
RandomForestRegression.py ———— 随机森林回归
SimulateAnneal.py ———— 模拟退火(用于对预测出来的虚拟机部署)
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