code: def step_class(self):
      return StepClass.TRAINING
  
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 9 for calling the RegisterStep obj's underlying member method code with example usage: obj.step_class() and returns: StepClass