{
  "id": "lib-process:data-science-ml--automl-pipeline",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "automl-pipeline",
    "description": "AutoML Pipeline Orchestration - Automated machine learning workflows with algorithm selection,\nhyperparameter optimization, ensemble creation, and model selection with human-in-the-loop validation gates.",
    "libraryPath": "library/specializations/data-science-ml/automl-pipeline.js",
    "specialization": "data-science-ml",
    "references": [
      "- Auto-sklearn: https://automl.github.io/auto-sklearn/\n- H2O AutoML: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html\n- MLflow Experiment Tracking: https://mlflow.org/\n- Google AutoML: https://cloud.google.com/automl"
    ],
    "example": "const result = await orchestrate('specializations/data-science-ml/automl-pipeline', {\n  dataPath: 'data/training.csv',\n  targetColumn: 'churn',\n  problemType: 'binary-classification',\n  timeLimit: 3600,\n  targetMetric: 'auc'\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-science-ml--automl-pipeline",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--automl-pipeline",
      "to": "workflow:release-management",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--automl-pipeline",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:data-science-ml--automl-pipeline",
      "to": "specialization:data-science-ml",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}