code: def get_default_conda_env(include_cloudpickle=False):
      """Return default Conda environment for MLflow Models.
  
      Returns
      -------
      The default Conda environment for MLflow Models produced by calls to
      :func:`save_model()` and :func:`log_model()`
      """
      _check_mlflow_dependencies(severity="error")
      from mlflow.utils.environment import _mlflow_conda_env
  
      return _mlflow_conda_env(
          additional_pip_deps=get_default_pip_requirements(
              include_cloudpickle
          )
      )
  
file_path: sktime/sktime/utils/mlflow_sktime.py
imports: import logging
  import os
  import pandas
  import yaml
  import sktime
  from sktime import utils
  from sktime.base._serialize import load
  from sktime.utils.multiindex import flatten_multiindex
  from sktime.utils.validation._dependencies import _check_mlflow_dependencies
label_desc: Use image node_id 2 for calling a global function with example usage: get_default_conda_env(include_cloudpickle) and returns: _mlflow_conda_env