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genpark-bayesian-network-exact-variable-elimination-skill

mcp
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SUMMARY

GenPark AI Agent Skill - Exact probabilistic inference engine for discrete Bayesian networks computing posterior marginals via factor product and variable elimination.

README.md

GenPark Bayesian Network Exact Variable Elimination Skill

Exact probabilistic inference for discrete Bayesian networks utilizing factor products, evidence reduction, and variable elimination.

Find out more at GenPark and the GenPark MCP Catalog.

graph TD
    A[Factor Pool phi_1, phi_2, ... phi_k] --> B[Reduce Observed Evidence]
    B --> C[Select Variable to Eliminate X_i]
    C --> D[Multiply Factors Containing X_i]
    D --> E[Sum out X_i: sum_X_i phi_prod]
    E --> F{Remaining Variables?}
    F -->|Yes| C
    F -->|No: Target Left| G[Normalize to Posterior Distribution]

Features

  • General discrete multidimensional factor operations.
  • Exact posterior computation without Monte Carlo sampling variance.
  • Pure Python standard library.

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