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genpark-structural-causal-model-dag-interventional-engine-skill

mcp
Guvenlik Denetimi
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SUMMARY

GenPark AI Agent Skill - Structural Causal Model (SCM) DAG engine evaluating observational distributions and simulating Pearl's do-calculus interventions.

README.md

GenPark Structural Causal Model DAG Interventional Engine Skill

Structural Causal Model (SCM) DAG engine evaluating observational distributions and simulating Pearl's do-calculus interventions.

Read more at GenPark and the GenPark MCP Catalog.

graph TD
    S[Seasonality] -->|Causal| M[MarketingSpend]
    S -->|Direct Confounder| T[WebTraffic]
    M -->|Causal| T
    T -->|Causal| R[Revenue]
    style S fill:#e1f5fe
    style M fill:#fff9c4
    style T fill:#c8e6c9
    style R fill:#d1c4e9

Features

  • Pure Python standard library causal DAG representation.
  • Pearl's do(X = x) graph surgery removing incoming directed edges.
  • Exact structural state propagation across endogenous networks.

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