code: def importances(self):
      try:
          scores = self._error_analyzer.compute_importances()
          return {WidgetRequestResponseConstants.data: scores}
      except Exception as e:
          print(e)
          traceback.print_exc()
          e_str = _format_exception(e)
          return {
              WidgetRequestResponseConstants.error: "Failed to generate feature importances,"
              "inner error: {}".format(e_str),
              WidgetRequestResponseConstants.data: [],
          }
  
imports: import traceback
  from typing import List, Optional
  import numpy
  import pandas
  from erroranalysis._internal.constants import display_name_to_metric
  from raiutils.cohort import Cohort, CohortFilter, CohortFilterMethods
  from raiutils.data_processing import convert_to_list, serialize_json_safe
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask, is_classifier
  from raiwidgets.constants import ErrorMessages
  from raiwidgets.error_handling import _format_exception
  from raiwidgets.interfaces import WidgetRequestResponseConstants
  from responsibleai import RAIInsights
  from responsibleai._internal.constants import ManagerNames
label_desc: Use image node_id 8 for calling the ResponsibleAIDashboardInput obj's underlying member method code with example usage: obj.importances() and returns: dict, dict