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bayesiannetwork's Introduction

Welcome to Bayesian Network and Sampling 👋

Design and build your own Bayesian Network for causal and diagnostic reasoning.
Implement Exact Inference and Sanity Checks.
Implement Approximate Inference, including rejection sampling and Gibbs sampling, and estimate Convergence and Accuracy.

Usage

  • BayesianNetwork.py: Class of Bayesian Network
  • ExactInference.py: Functions of generate exact probability of Bayesian Network
  • ApproximateInference.py: Class of sample, including rejection sampling and gibbs sampling methods
  • evaluation.py/ipynb: Methods and analysis of convergence and accuracy of two sampling implemented on two networks

Run the program: run evaluation.ipynb

References

Author

👤 Yuchi Chen

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