This repository contains the code and experiments conducted as part of my Master's thesis.
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Clone the repository and navigate to it:
git clone https://github.com/xPieroxk/sltl.git
cd sltl -
Unzip the dataset:
Before running the evaluation script, make sure to unzip thedatasetsfolder. -
Create and activate a virtual environment:
python -m venv venv && source venv/bin/activate
(On Windows:venv\Scripts\activate) -
Install the required packages:
pip install -r requirements.txt
Note: This project was developed and tested using Python 3.10.11.
To generate plots, run plot.py with one or two arguments:
python plot.py <i> [<j>]
<i>and<j>are patient indices ranging from 1 to 210 (inclusive).
python plot.py 5— generates the plot for patient 5python plot.py 3 17— compares patient 3 with patient 17