code: def fit_id_niter_test_data(self):
      space_3 = GraphSpace(3)
  
      smoke_data = [
          dict(
              estimator=_AACFrechetMean(space_3.metric),
              X=space_3.random_point(4),
          ),
      ]
  
      return self.generate_tests(smoke_data)
  
imports: import geomstats.backend
  from geomstats.geometry.stratified.graph_space import ExhaustiveAligner, GraphSpace, _GeodesicToPointAligner
  from geomstats.learning.aac import _AACGGPCA, _AACFrechetMean, _AACRegression
  from geomstats.test.data import TestData
  from geomstats.test.test_case import np_backend
label_desc: Use image node_id 2 for calling the AACFrechetMeanTestData obj's underlying member method code with example usage: obj.fit_id_niter_test_data() and returns: self