code: def fetch_logged_data(run_id):
      """Fetch params, metrics, tags, and artifacts in the specified run"""
      client = MlflowClient()
      data = client.get_run(run_id).data
      # Exclude system tags: https://www.mlflow.org/docs/latest/tracking.html#system-tags
      tags = {
          k: v
          for k, v in data.tags.items()
          if not k.startswith("mlflow.")
      }
      artifacts = list(yield_artifacts(run_id))
      return {
          "params": data.params,
          "metrics": data.metrics,
          "tags": tags,
          "artifacts": artifacts,
      }
  
label_desc: Use image node_id 2 for calling a global function with example usage: fetch_logged_data(run_id) and returns: dict