Welcome to the world of PyXAB, a Python library dedicated to *X*-armed bandit algorithms, renowned for their effectiveness in online black-box optimization and hyperparameter tuning. This guide will help you unravel the secrets of PyXAB and assist you in applying it effectively.
Table of Contents
Quick Example
PyXAB’s API is designed to be intuitive and straightforward, allowing you to seamlessly integrate it into your projects. Here’s a brief introduction through a simple example:
domain = [[0, 1]] # Parameter is 1-D and between 0 and 1
algo = T_HOO(rounds=1000, domain=domain)
for t in range(1000):
point = algo.pull(t)
reward = 1 # TODO: User-defined objective returns the reward
algo.receive_reward(t, reward)
This brief example can be compared to a treasure hunt. The domain defines the area where you search for treasure (the best solution), the algo.pull(t) simulates digging at a particular spot each round, and algo.receive_reward(t, reward) lets you know whether you found any treasure in that location!
Documentations
For a more thorough understanding, the most up-to-date documentations are readily available. You can also explore the roadmap for the project and check out our manuscript for more insights on the library.
Installation
Installing PyXAB is a breeze! You can do it using pip. Just run the following command:
pip install PyXAB # normal install
pip install --upgrade PyXAB # or update if needed
You can also clone the repository via git:
git clone https://github.com/WilliamLwj/PyXAB.git
cd PyXAB
pip install .
Features
PyXAB comes packed with numerous features designed to enhance your optimization projects:
- User-friendly APIs and clear documentation
- Comprehensive library of optimization algorithms and synthetic objectives
- High code quality and testing coverage
- Low dependency for flexible integration with other packages such as PyTorch and Scikit-Learn
Contributing
Your contributions are valuable! Whether identifying bugs, proposing new features, or submitting code, we welcome all forms of assistance. Check the contributing instructions for guidance.
Troubleshooting Tips
If you encounter any issues while using PyXAB, here are some troubleshooting ideas to help you resolve them:
- Ensure you have the latest version of PyXAB installed. You can update it using the command described in the installation section.
- Verify your Python environment is set up correctly and that no dependency conflicts exist.
- Consult the detailed documentation for specific examples and troubleshooting advice.
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