README.md

Explaining Tele Assist System (TAS) workflow adaptations using LIME

Source Code for Auckland University of Technology Master's 60pt Dissertation

Before you begin, ensure you have met the following requirements:

• Python 3.11 or later
• Pip package manager
• An environment manager like venv (optional, but recommended)

Setup Python Virtual Environment

python -m venv env

Activate the virtual environment

On Windows:

venv\Scripts\activate

On Linux or MacOS:

source venv/bin/activate

Setup

Install dependencies

pip install <dependency>

Usage

• Run explanable_tas.py to run the workflow and generate LIME explanations and plots

References

• https://www.datacamp.com/tutorial/random-forests-classifier-python
• https://www.geeksforgeeks.org/multi-armed-bandit-problem-in-reinforcement-learning/
• https://marcotcr.github.io/lime/tutorials/Tutorial%20-%20continuous%20and%20categorical%20features.html