workflow:ml-experiment-tracking

{
  "id": "workflow:ml-experiment-tracking",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-ml-deep.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "ML Experiment Tracking",
    "workflowKind": "data",
    "triggerType": "continuous",
    "typicalCadence": "continuous",
    "complexity": "single-team",
    "description": "Maintains the experiment tracking infrastructure — enforcing metadata\nschemas, managing run lineage, pruning abandoned experiments, comparing\nruns across dimensions, and ensuring reproducibility artifacts are stored\nalongside results. Excludes experiment design.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "role:platform-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "skill-area:observability-pipeline",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "domain:ml-ops",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "org-unit:ml-platform-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:ml-experiment-tracking",
      "to": "org-unit:ml-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}