class_docstr: CatBoost Model
class_docstr_tok: ["CatBoost","Model"]
docstr: get feature importance
  
  Notes
  -----
      parameters references:
      https://catboost.ai/docs/concepts/python-reference_catboost_get_feature_importance.html#python-reference_catboost_get_feature_importance
docstr_tok: ["get","feature","importance","Notes","--","--","-","parameters","references",":","https",":","\/\/catboost.ai\/docs\/concepts\/python-reference_catboost_get_feature_importance.html","#","python-reference_catboost_get_feature_importance"]
code: def get_feature_importance(self, *args, **kwargs) -> pd.Series:
      """get feature importance
  
      Notes
      -----
          parameters references:
          https://catboost.ai/docs/concepts/python-reference_catboost_get_feature_importance.html#python-reference_catboost_get_feature_importance
      """
      return pd.Series(
          data=self.model.get_feature_importance(*args, **kwargs),
          index=self.model.feature_names_,
      ).sort_values(ascending=False)
  
file_path: qlib/qlib/contrib/model/catboost_model.py
imports: import numpy
  import pandas
  from typing import Text, Union
  from catboost import Pool, CatBoost
  from catboost.utils import get_gpu_device_count
  from ...model.base import Model
  from ...data.dataset import DatasetH
  from ...data.dataset.handler import DataHandlerLP
  from ...model.interpret.base import FeatureInt
  from ...data.dataset.weight import Reweighter
label_desc: Use image node_id 4 for calling the CatBoostModel obj's underlying member method code with example usage: obj.get_feature_importance() and returns: pd