code: def get_default_pip_requirements(include_cloudpickle=False):
      """Create list of default pip requirements for MLflow Models.
  
      Returns
      -------
      list of default pip requirements for MLflow Models produced by this flavor.
      Calls to :func:`save_model()` and :func:`log_model()` produce a pip environment
      that, at a minimum, contains these requirements.
      """
      _check_mlflow_dependencies(severity="error")
      from mlflow.utils.requirements_utils import (
          _get_pinned_requirement,
      )
  
      pip_deps = [_get_pinned_requirement("sktime")]
      if include_cloudpickle:
          pip_deps += [_get_pinned_requirement("cloudpickle")]
  
      return pip_deps
  
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 1 for calling a global function with example usage: get_default_pip_requirements(include_cloudpickle) and returns: pip_deps