code: def __init__(self) -> None:
      if mlflow is None:
          raise ImportError(
              "MlflowLogger requires mlflow. Install using `pip install mlflow`"
          )
      super().__init__()
      self.runs = []
  
imports: import secrets
  from contextlib import contextmanager
  from pycaret.loggers.base_logger import BaseLogger
  from pycaret.utils.generic import mlflow_remove_bad_chars
label_desc: Use image node_id 1 to create a new MlflowLogger object from inherited base classes: BaseLogger with example: obj = MlflowLogger()