https://github.com/Nth-iteration-labs/streamingbandit

Python application to setup and run streaming (contextual) bandit experiments.
https://github.com/Nth-iteration-labs/streamingbandit

bandit cmab contextual mab multi-armed multi-armed-bandit online sequential streaming

Last synced: 9 days ago
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Python application to setup and run streaming (contextual) bandit experiments.

• Host: GitHub
• URL: https://github.com/Nth-iteration-labs/streamingbandit
• Owner: Nth-iteration-labs
• License: mit
• Created: 2015-07-17T11:57:07.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-03-31T14:34:08.000Z (over 1 year ago)
• Last Synced: 2024-08-01T17:31:39.545Z (3 months ago)
• Topics: bandit, cmab, contextual, mab, multi-armed, multi-armed-bandit, online, sequential, streaming
• Language: Python
• Size: 7.37 MB
• Stars: 79
• Watchers: 11
• Forks: 17
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-streaming - StreamingBandit - Provides a webserver to quickly setup and evaluate possible solutions to contextual multi-armed bandit (cMAB) problems. (Table of Contents / Online Machine Learning)
• awesome-streaming - StreamingBandit - Provides a webserver to quickly setup and evaluate possible solutions to contextual multi-armed bandit (cMAB) problems. (Table of Contents / Online Machine Learning)

README

        
# StreamingBandit

Provides a webserver to quickly setup and evaluate possible solutions to contextual multi-armed bandit (cMAB) problems. Allows user to create new "experiments", each with their own policy, and disclose an API to evaluate the policy in applications.

For the documentation and a short introduction to StreamingBandit see http://nth-iteration-labs.github.io/streamingbandit/

For installation instructions see the documentation at http://nth-iteration-labs.github.io/streamingbandit/install.html

You can find a paper explaining StreamingBandit in more detail at https://arxiv.org/abs/1602.06700

## Contribution

We welcome all contribution to StreamingBandit. For details see http://nth-iteration-labs.github.io/streamingbandit/#contributing-to-the-libraries