code: def _run(self, output_directory):
      apply_recipe_tracking_config(self.tracking_config)
  
      run_id_path = get_step_output_path(
          recipe_root_path=self.recipe_root,
          step_name="train",
          relative_path="run_id",
      )
      run_id = Path(run_id_path).read_text()
  
      model_validation_path = get_step_output_path(
          recipe_root_path=self.recipe_root,
          step_name="evaluate",
          relative_path="model_validation_status",
      )
      model_validation = Path(model_validation_path).read_text()
      artifact_path = "train/model"
      tags = {
          MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.RECIPE),
          MLFLOW_RECIPE_TEMPLATE_NAME: self.step_config["recipe"],
      }
      self.model_uri = f"runs:/{run_id}/{artifact_path}"
      if model_validation == "VALIDATED" or (
          model_validation == "UNKNOWN"
          and self.allow_non_validated_model
      ):
          if self.registry_uri:
              mlflow.set_registry_uri(self.registry_uri)
          self.model_details = mlflow.register_model(
              model_uri=self.model_uri,
              name=self.register_model_name,
              tags=tags,
              await_registration_for=DEFAULT_AWAIT_MAX_SLEEP_SECONDS,
          )
          self.version = self.model_details.version
          registered_model_info = RegisteredModelVersionInfo(
              name=self.register_model_name, version=self.version
          )
          registered_model_info.to_json(
              path=str(
                  Path(output_directory) / _REGISTERED_MV_INFO_FILE
              )
          )
      else:
          raise MlflowException(
              f"Model registration on {self.model_uri} failed because it "
              "is not validated. Bypass by setting allow_non_validated_model to True. "
          )
  
      card = self._build_card(run_id)
      card.save_as_html(output_directory)
      self._log_step_card(run_id, self.name)
      return card
  
imports: import logging
  from pathlib import Path
  from typing import Any, Dict
  import mlflow
  from mlflow.entities import SourceType
  from mlflow.exceptions import INVALID_PARAMETER_VALUE, MlflowException
  from mlflow.recipes.artifacts import ModelVersionArtifact, RegisteredModelVersionInfo
  from mlflow.recipes.cards import BaseCard
  from mlflow.recipes.step import BaseStep, StepClass
  from mlflow.recipes.steps.train import TrainStep
  from mlflow.recipes.utils.execution import get_step_output_path
  from mlflow.recipes.utils.tracking import TrackingConfig, apply_recipe_tracking_config, get_recipe_tracking_config
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.utils.databricks_utils import get_databricks_env_vars, get_databricks_model_version_url, get_databricks_run_url
  from mlflow.utils.mlflow_tags import MLFLOW_RECIPE_TEMPLATE_NAME, MLFLOW_SOURCE_TYPE
label_desc: Use image node_id 3 for calling the RegisterStep obj's underlying member method code with example usage: obj._run(output_directory) and returns: card