ISSRE23-12

Environment Setup

• ax_platform==0.3.3
• botorch==0.8.5
• detector==3.0
• gpytorch==1.10
• hyperopt==0.2.7
• matplotlib==3.6.2
• numpy==1.23.4
• pandas==1.5.1
• PyYAML==6.0.1
• scikit_learn==1.1.3
• statsmodels==0.14.0
• torch==2.0.1
• tqdm==4.65.0

Usage

1. format your KPI data into CSV
2. enter the root folder of AutoKAD
3. change the path of data in conf.yml
4. run python entry.py

Dataset in paper

Dataset A: https://github.com/NetManAIOps/KPI-Anomaly-Detection

Datasets B and C contain some private information about the companies we work with. The company is currently undergoing a privacy check and our Datasets B and C will be made public after the privacy information is removed.