class_docstr: A widget for interacting with Captum Insights.
code: def _fetch_attribution(self, change):
      if not self.label_details:
          return
      with self.out:
          self.attribution = namedtuple_to_dict(
              self.visualizer._calculate_attribution_from_cache(
                  self.label_details["inputIndex"],
                  self.label_details["modelIndex"],
                  self.label_details["labelIndex"],
              )
          )
          self.label_details = dict()
  
file_path: captum/captum/insights/attr_vis/widget/widget.py
imports: import ipywidgets
  from captum.insights import AttributionVisualizer
  from captum.insights.attr_vis.server import namedtuple_to_dict
  from traitlets import Dict, Instance, List, observe, Unicode
label_desc: Use image node_id 3 for calling the CaptumInsights obj's underlying member method code with example usage: obj._fetch_attribution(change) without return types