Metadata-Version: 1.0
Name: thompson-sampling
Version: 0.0.0
Summary: Thompson Sampling
Home-page: UNKNOWN
Author: Anton1o_I
Author-email: a.iniguez21@gmail.com
License: LICENSE.txt
Description: # thompson-sampling
        Thompson Sampling Experiment in Python
        
        This project is an implementation of a Thompson Sampling approach to a Multi-Armed Bandit. The goal of this project is to easily create and maintain Thompson Sampling experiments.
        
        Currently this project supports experiments where the response follows a Bernoulli or Poisson distribution. Further work will be done to allow for experiments that follow other distributions, with recommendations/collaboration welcome.
        
        ## Usage
        
        ### Setting up the experiment:
        The following method will instantiate the experiment with default priors.
        ```python
        from thompson_sampling.bernoulli import BernoulliExperiment
        
        experiment = BernoulliExperiment(arms=2)
        ```
        
        If you want set your own priors:
        ```python
        
        from thompson_sampling.bernoulli import BernoulliExperiment
        
        experiment = BernoulliExperiment(priors=[{"a":10, "b":5}, {"a":1, "b":2}])
        ```
Platform: UNKNOWN
