code: def load_pre_calculated_feature_importance() -> pd.Series:
      """Load the pre-calculated feature importance for the Airbnb NYC 2019 dataset.
  
      Returns
      -------
      feature_importance : pd.Series
          The feature importance for a model trained on the Airbnb NYC 2019 dataset.
      """
      return pd.Series(
          {
              "neighbourhood_group": 0.1,
              "neighbourhood": 0.2,
              "room_type": 0.1,
              "minimum_nights": 0.1,
              "number_of_reviews": 0.1,
              "reviews_per_month": 0.1,
              "calculated_host_listings_count": 0.1,
              "availability_365": 0.1,
              "has_availability": 0.1,
          }
      )
  
file_path: deepchecks/deepchecks/tabular/datasets/regression/airbnb.py
imports: import math
  import time
  import typing
  import numpy
  import pandas
  from deepchecks.tabular.dataset import Dataset
label_desc: Use image node_id 2 for calling a global function with example usage: load_pre_calculated_feature_importance() and returns: pd