code: def get_default_access_anomaly_model(self):
      if self.default_access_anomaly_model is not None:
          return self.default_access_anomaly_model
  
      access_anomaly = AccessAnomaly(
          tenantCol=AccessAnomalyConfig.default_tenant_col,
          maxIter=10,
      )
      self.default_access_anomaly_model = access_anomaly.fit(
          self.training
      )
      self.default_access_anomaly_model.preserve_history = False
      return self.default_access_anomaly_model
  
imports: import os
  import tempfile
  import unittest
  from typing import Dict, Optional, Set, Type, Union
  from pandas.testing import assert_frame_equal
  from pyspark.sql import DataFrame, types, functions
  from synapse.ml.cyber.feature import indexers
  from synapse.ml.cyber import DataFactory
  from synapse.ml.cyber.anomaly.collaborative_filtering import AccessAnomaly, AccessAnomalyModel, AccessAnomalyConfig, ConnectedComponents, ModelNormalizeTransformer, _UserResourceFeatureVectorMapping
  from synapsemltest.cyber.explain_tester import ExplainTester
  from synapsemltest.spark import *
label_desc: Use image node_id 3 for calling the Dataset obj's underlying member method code with example usage: obj.get_default_access_anomaly_model() and returns: self, self