class_docstr: Base class representing a step in an MLflow Recipe
docstr: Returns back the name of the step for the current class instance. This is used
  downstream by the execution engine to create step-specific directory structures.
docstr_tok: ["Returns","back","the","name","of","the","step","for","the","current","class","instance",".","This","is","used","downstream","by","the","execution","engine","to","create","step-specific","directory","structures","."]
code: def name(self) -> str:
      """
      Returns back the name of the step for the current class instance. This is used
      downstream by the execution engine to create step-specific directory structures.
      """
      pass
  
imports: import abc
  import json
  import logging
  import os
  import time
  import traceback
  from enum import Enum
  from typing import Any, Dict, List, Optional
  import yaml
  from mlflow.recipes.cards import CARD_HTML_NAME, CARD_PICKLE_NAME, BaseCard, FailureCard
  from mlflow.recipes.utils import get_recipe_name
  from mlflow.recipes.utils.step import display_html
  from mlflow.tracking import MlflowClient
  from mlflow.utils.databricks_utils import is_in_databricks_runtime
label_desc: Use image node_id 9 for calling the BaseStep obj's underlying member method code with example usage: obj.name() without return types