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