XAISuite: Training and Explanation Generation Utilities for Machine Learning Models
Reason this release was yanked:
This is an unstable version without complete functionalities.
Project description
XAISuite: Training and Explaining Machine Learning Models
Table of Contents
Introduction
XAISuite (Explanatory Artificial Intelligence Suite is a library for training and explaining machine learning models for tabular datasets in Python. It provides a unified interface for training any model using just a line of code and easily comparing the results of different explainers!
Installation
You can install XAI Suite through PyPI:
pip install XAISuite
Getting Started
For example code and an introduction to the library, see the Demo Folder.
How to Contribute
We welcome the contribution from the open-source community to improve the library!
To add a new explanation method/feature into the library, please follow the template and steps demonstrated in this documentation.
Technical Report and Citing XAISuite
A research paper has not been published yet. Until then, cite "Shreyan Mitra - XAISuite (paper pending)"
Contact Us
If you have any questions, comments or suggestions, please do not hesitate to contact us at shreyan.m.mitra@gmail.com
License
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
