https://github.com/bkbilly/bayesian_networks

Implementation for bayesian network
https://github.com/bkbilly/bayesian_networks

bayesian-network enumeration likelihood-weighting pipy rejection-sampling

Last synced: 14 days ago
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Implementation for bayesian network

• Host: GitHub
• URL: https://github.com/bkbilly/bayesian_networks
• Owner: bkbilly
• Created: 2019-11-16T21:40:02.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-03-09T00:02:31.000Z (about 6 years ago)
• Last Synced: 2026-01-03T02:10:30.315Z (2 months ago)
• Topics: bayesian-network, enumeration, likelihood-weighting, pipy, rejection-sampling
• Language: Python
• Homepage: https://pypi.org/project/bayesian-networks
• Size: 23.4 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Bayesian Networks

[![PyPI Version](https://img.shields.io/pypi/v/bayesian-networks?label=PyPI&logo=pypi)](https://pypi.org/project/bayesian-networks/)

Implementation for bayesian network with 

  - Enumeration

  - Rejection Sampling

  - Likelihood Weighting

## Install

```bash

sudo pip3 install --upgrade bayesian-networks

```

## How to use

```python

import bayesian_networks

testcase = {

    'netid': "burglary",

    'query': ('B', 'j,m'),

    'result': {True: 0.28, False: 0.72},

    'samples': 10000,

}

enum = bayesian_networks.Enumeration()

results = enum.run(testcase)

bayesian_networks.print_result(results, showcolors=True)

rejection = bayesian_networks.RejectionSampling()

results = rejection.run(testcase)

bayesian_networks.print_result(results, showcolors=True)

weighting = bayesian_networks.LikelihoodWeighting()

results = weighting.run(testcase)

bayesian_networks.print_result(results, showcolors=True)

```