Skip to content

Torchlight-ljj/HigeNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HigeNet

Python 3.6 PyTorch 1.2 cuDNN 7.3.1

Requirements

  • Python 3.6
  • matplotlib == 3.1.1
  • numpy == 1.19.4
  • pandas == 0.25.1
  • scikit_learn == 0.21.3
  • torch == 1.8.0

Dependencies can be installed using the following command:

pip install -r requirements.txt

Data

The AIOPS dataset used in the paper can be download in the repo AIOPSdataset. The required data files should be put into data/DM_TS/ folder. A demo slice of the ETT data is illustrated in the following figure.



Figure 3. An example of the ETT data.

Usage

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages