{
  "id": "lib-process:data-science-ml--model-interpretability",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "model-interpretability",
    "description": "Model Interpretability and Explainability Analysis - Comprehensive model interpretation pipeline with\nglobal and local explanations, feature importance analysis, SHAP/LIME integration, decision path analysis,\ncounterfactual explanations, and bias detection with quality convergence gates.",
    "libraryPath": "library/specializations/data-science-ml/model-interpretability.js",
    "specialization": "data-science-ml",
    "references": [
      "- SHAP (SHapley Additive exPlanations): https://shap.readthedocs.io/\n- LIME (Local Interpretable Model-agnostic Explanations): https://github.com/marcotcr/lime\n- InterpretML: https://interpret.ml/\n- Alibi Explain: https://docs.seldon.io/projects/alibi/\n- DALEX: https://dalex.drwhy.ai/\n- What-If Tool: https://pair-code.github.io/what-if-tool/\n- Captum (PyTorch): https://captum.ai/\n- TensorFlow Model Analysis: https://www.tensorflow.org/tfx/guide/tfma"
    ],
    "example": "const result = await orchestrate('specializations/data-science-ml/model-interpretability', {\n  modelPath: 'models/churn-prediction-model.pkl',\n  modelType: 'classification',\n  dataPath: 'data/test-samples.csv',\n  targetColumn: 'churn',\n  explainabilityMethods: ['shap', 'lime', 'partial-dependence', 'counterfactual'],\n  targetQuality: 85,\n  maxIterations: 3\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-science-ml--model-interpretability",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--model-interpretability",
      "to": "role:data-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--model-interpretability",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--model-interpretability",
      "to": "specialization:data-science-ml",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}