Codes of the article A Contrastive Learning Framework for Detecting Anomalous Behavior in Commodity Trading Platforms

You can use the requirements.txt file or can use packages with the same major version number.

Usage

• download this repository
• prepare your python environment with pytorch cuda support. (I recommend to use conda)
• generate config file.

  # python clad-cli.py get-config -h
  python clad-cli.py get-config eshop gru-all > a.json

• modify config file
• run model, and the result will be in the output folder.

  # python clad-cli.py run -h
  python clad-cli.py run a.json