Generate interpretability plots for trained models

Table of contents

• Installation
• Configuration
• Run

Installation

    python3 -m venv env
    source env/bin/activate
    pip install poetry
    poetry install

Configuration

Make sure to configure the models_dir parameter in the config.yaml file.
In the current state, each subdirectory of the models_dir should contain a model.pickle file as well as a train_feature.csv and a test_feature.csv file.

Run

After the config file is set up properly, you can run the pipeline using:

python3 main.py