{
  "id": "lib-process:data-science-ml--ml-architecture-design",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "ml-architecture-design",
    "description": "ML Architecture Design and Model Selection - Design system architecture for ML pipelines,\nselect candidate model architectures, define evaluation criteria, and establish baseline performance benchmarks\nwith iterative refinement.",
    "libraryPath": "library/specializations/data-science-ml/ml-architecture-design.js",
    "specialization": "data-science-ml",
    "references": [
      "- Designing Machine Learning Systems by Chip Huyen: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/\n- Production ML Systems - Google: https://developers.google.com/machine-learning/crash-course/production-ml-systems\n- ML Test Score Rubric: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/aad9f93b86b7addfea4c419b9100c6cdd26cacea.pdf\n- Rules of Machine Learning - Google: https://developers.google.com/machine-learning/guides/rules-of-ml"
    ],
    "example": "const result = await orchestrate('specializations/data-science-ml/ml-architecture-design', {\n  projectName: 'Customer Churn Prediction',\n  problemFormulation: { mlProblemType: 'classification', learningParadigm: 'supervised' },\n  dataCharacteristics: { volumeGB: 50, recordCount: 1000000, featureCount: 45 },\n  constraints: { latencyMs: 100, budget: '$50K', timeline: '3 months' }\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-science-ml--ml-architecture-design",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--ml-architecture-design",
      "to": "role:data-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--ml-architecture-design",
      "to": "workflow:architecture-decision-record",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--ml-architecture-design",
      "to": "specialization:data-science-ml",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}