Skip to content

Latest commit

 

History

History
18 lines (13 loc) · 589 Bytes

README.md

File metadata and controls

18 lines (13 loc) · 589 Bytes

To run the code included in this repo:

  1. Clone or download the repository.

  2. Download the Anaconda version suitable for your OS.

  3. Create a virtual environment with the same libraries we used by running:

$ conda env create -f conda_env.yml
$ conda activate ids_drl

  1. Launch jupyter notebbok and follow the notebooks in this order:

    1. Data Preprocessing
    2. Defining the environment
    3. Training and Results

  2. The final model that we found is in ids_drl_model.zip, you can skip training and load it directly.