COAP

Installation

1. Create a python environment

   conda create -n coap python=3.12
   conda activate coap

2. Install pytorch

   Following the official website's guidance (https://pytorch.org/get-started/locally/), install the corresponding PyTorch version based on your CUDA version. For our experiments, we use torch 2.6.0+cu116. The installation command is as follows:

   pip install torch==2.6.0+cu116 torchvision==0.21.0+cu116 torchaudio==2.6.0 --extra-index-url https://download.pytorch.org/whl/cu116

3. Install other related dependencies

   pip install -r requirements.txt

Data Preparation

First, you need to specify the data_path and dataset in the /eventlog directory.

• /eventlog/ORI: stores the original files
• /eventlog/csv: stores the event stream (CSV) files

Running

python main.py