iiRecord
Agentic AI Atlas · Hyperparameter Tuning Cycle
workflow:hyperparameter-tuning-cyclea5c.ai
II.
Workflow JSON

workflow:hyperparameter-tuning-cycle

Structured · live

Hyperparameter Tuning Cycle json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · workflows/workflows/workflows-ml-deep.yamlCluster · workflows
Record JSON
{
  "id": "workflow:hyperparameter-tuning-cycle",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-ml-deep.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Hyperparameter Tuning Cycle",
    "workflowKind": "data",
    "triggerType": "event-driven",
    "typicalCadence": "per-experiment",
    "complexity": "single-team",
    "description": "Orchestrates systematic hyperparameter optimization — defining search\nspaces, launching sweep jobs (grid, random, Bayesian), tracking trial\nresults, applying early stopping, and selecting the best configuration\nfor promotion. Excludes model architecture search.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "domain:ml-ops",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "org-unit:ml-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:hyperparameter-tuning-cycle",
      "to": "org-unit:research-engineering",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "stack-profile:llm-fine-tuning",
      "to": "workflow:hyperparameter-tuning-cycle",
      "kind": "follows_workflow"
    }
  ]
}