{
  "id": "lib-process:data-science-ml--model-retraining",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "model-retraining",
    "description": "ML Model Retraining Pipeline - Detect model staleness, automatically retrain on updated data,\nvalidate performance improvements, deploy updated models, and maintain version lineage with quality gates",
    "libraryPath": "library/specializations/data-science-ml/model-retraining.js",
    "specialization": "data-science-ml",
    "references": [
      "- MLOps Continuous Training: https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning\n- Apache Airflow: https://airflow.apache.org/\n- Prefect Modern Workflow: https://www.prefect.io/\n- ML Test Score: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf"
    ],
    "example": "const result = await orchestrate('data-science-ml/model-retraining', {\n  modelId: 'recommendation-model-v2',\n  retrainingTrigger: 'scheduled', // or 'drift-detected', 'performance-degradation'\n  dataSource: 's3://ml-data/training-data/2024-01-latest/',\n  performanceThreshold: 0.85,\n  autoDeployEnabled: false\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-science-ml--model-retraining",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--model-retraining",
      "to": "role:data-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--model-retraining",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--model-retraining",
      "to": "specialization:data-science-ml",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}