py-bbn

A Python library for associational, interventional to counterfactual reasoning. Graphical queries are enabled by using d-separation to identify confounders and mediators. Logic sampling with rejection is used to generate synthetic data.

For a license, please send an email to info@rocketvector.io.

Contents

• 1. Quickstart
  • 1.1. Creating a model
  • 1.2. Associational query
  • 1.3. Interventional query
  • 1.4. Counterfactual query
  • 1.5. Graphical query
  • 1.6. Data sampling
  • 1.7. Serde
• 2. Huang Example
  • 2.1. Model
  • 2.2. Graphs
  • 2.3. Queries
  • 2.4. Save
• 3. Bibliography

API Documentation

• py-bbn
  • Common
  • Factory
  • Parameter
  • Reasoning
  • Associational Query
  • Interventional Query
  • Counterfactual Query
  • Graphical Query
  • Sampling
  • Serde

Indices and tables

• Index

• Module Index

• Search Page

Copyright

Software

Copyright 2024 Rocket Vector

Art

Copyright 2020 Daytchia Vang

Citation

@misc{rocketvector_pybbn_2024,
title={PyBBN},
url={https://pybbn.rocketvector.io},
author={Vang, Jee},
year={2024},
month={Jan}}