class_docstr: LightGBM (F)eature (Int)erpreter
docstr: get feature importance
  
  Notes
  -----
      parameters reference:
      https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.Booster.html?highlight=feature_importance#lightgbm.Booster.feature_importance
docstr_tok: ["get","feature","importance","Notes","--","--","-","parameters","reference",":","https",":","\/\/lightgbm.readthedocs.io\/en\/latest\/pythonapi\/lightgbm.Booster.html","?","highlight=feature_importance","#","lightgbm.Booster.feature_importance"]
code: def get_feature_importance(self, *args, **kwargs) -> pd.Series:
      """get feature importance
  
      Notes
      -----
          parameters reference:
          https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.Booster.html?highlight=feature_importance#lightgbm.Booster.feature_importance
      """
      return pd.Series(
          self.model.feature_importance(*args, **kwargs),
          index=self.model.feature_name(),
      ).sort_values(  # pylint: disable=E1101
          ascending=False
      )
  
file_path: qlib/qlib/model/interpret/base.py
imports: import pandas
  from abc import abstractmethod
label_desc: Use image node_id 2 for calling the LightGBMFInt obj's underlying member method code with example usage: obj.get_feature_importance() and returns: pd