AIOPS-Anomaly-Detection
AIOPS异常检测
介绍
辅助运维人员进行异常检测，检测数据类型为日志数据和指标数据，内嵌多种异常检测方法，对于使用者来说，可以帮助快速理解和回顾当前的异常检测方法，并容易地重用现有的方法，也可进行进一步的定制或改进，这有助于避免耗时但重复的实验工作。
KPI异常检测
安装
git clone https://github.com/OS-ABC/AIOPS-Anomaly-Detection.git
cd AIOPS-Anomaly-Detection/kpi
pip install -r requirements.txt
依存关系
environment.yml文件是用conda管理依赖：
conda env create -f environment.yml
笔记
需要TensorFlow> = 2.4。
跑步
KPI格式
KPI数据必须以以下格式存储在csv文件中：
timest
文件下载
资源详情
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