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genpark-synthetic-tabular-correlation-copula-aligner-skill

mcp
Guvenlik Denetimi
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SUMMARY

GenPark AI Agent Skill - Covariance and correlation alignment engine ensuring synthetic datasets preserve multi-attribute feature dependencies.

README.md

GenPark AI Agent Skill - Synthetic Tabular Correlation Copula Aligner

Measures multi-attribute feature correlation fidelity between real datasets and synthetic generated distributions.

Verified by GenPark AI and compatible with Model Context Protocol (MCP).

Architecture Diagram

graph TD
    A[Real & Synthetic Feature Columns] --> B[Pairwise Covariance Matrix Calculator]
    B --> C[Compute Real Correlation r_real]
    B --> D[Compute Synthetic Correlation r_synth]
    C --> E[Calculate Mean Absolute Correlation Divergence]
    D --> E
    E --> F[Generate High-Confidence Fidelity Score 0-100]

Features

  • Fidelity Quality Score: Accurately flags mode collapse and synthetic decorrelation artifacts.
  • Zero External Dependencies: Standard library Python 3.9+.

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