Sponsor
Tip
You can support this project in various ways ❤️
Star this repo at the github page.
Become a Sponsor!
Buy me a coffee! I ❤️ coffee :)
Follow me on Medium! Go to my medium profile and press follow.
Subscribe to me on Substack! Go to my profile where you can subscribe.
You can also buy a digital educational product over here.
Contribute in the form of feature requests, idea discussions, reporting bugs, opening pull requests.
Cheers Mate.
API Reference
The complete API reference documentation is available at: API Documentation
Tutorials and Examples
For detailed tutorials and examples, please visit: Tutorials
Medium Blog
Note
Medium Blog: Multi-armed Bandit Algorithms in Python
This blog post provides an in-depth explanation of the multi-armed bandit problem and how to use the thompson package to solve it.
Github
Note
Source code of thompson can be found at Github
The GitHub repository contains: - Source code - Issue tracker - Pull requests - Documentation - Examples
Citing
If you use this package in your research, please cite it using the following BibTeX entry:
@software{thompson,
title = {thompson: Multi-armed bandit algorithms for optimal resource allocation},
author = {Erdogan Tasksen},
year = {2024},
publisher = {GitHub},
url = {https://github.com/erdogant/thompson},
version = {1.0.0},
}
The BibTeX entry can also be found on the right side of the github page.