Anomaly identification alogrithm
config.py 设置阈值参数
topsis.py 输入：项目某月外包员工产出数据 输出：该月外包员工排名
Isolation_forest.py 输入：某个外包员工每个月的产出数据 输出：该外包员工每个月的异常得分
State_Anomaly.py 输入：外包员工名单 步骤： list = null for e in employee_set： get dataset of e （获取员工e月度的产出序列数据） count = Isolation_forest.get_anomaly_count (调用Isolation_forest文件构建孤立森林，并得到异常点计数) if count > treshold: list.add(e) 输出：个人状态异常的外包员工名单 备注：对识别出的个人状态异常的员工，后续需要回调Isolation_forest.py进行画图展示等
main.py 测试/执行
文件结构根据华为需要进行调整
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