quantum-waffle / SVMs-for-Lie-Detection

This proyect provides a Support Vector Machine implementation for lie detection, based on EGG metrics.

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SVMs-for-Lie-Detection

PyPI - Python Version PyPI - Library
This proyect provides a Support Vector Machine implementation for lie detection, based on EGG metrics. It also contains several test files that helped determine the best model for the data. It relies on Tensorflow, you can get it here.

Installation

Before Installation

It is recommended to use a python virtual enviroment. Create it with:

python3 -m venv MP

and run it with:

source MP/bin/activate

General Instructions

python

First, install all dependencies using pip:

sudo pip install -r requirements.txt

Run

Assuming you run it from a terminal within the main folder:

python tensor_nonlinear_gaussian_rbf_SVM.py

About

This proyect provides a Support Vector Machine implementation for lie detection, based on EGG metrics.

License:GNU General Public License v3.0


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