code: def test_class_init_with_data_string(self):
      self.g = NaiveBayes(feature_vars=["b", "c"], dependent_var="a")
      self.assertCountEqual(list(self.g.nodes()), ["a", "b", "c"])
      self.assertCountEqual(
          list(self.g.edges()), [("a", "b"), ("a", "c")]
      )
      self.assertEqual(self.g.dependent, "a")
      self.assertSetEqual(self.g.features, {"b", "c"})
  
imports: import unittest
  import networkx
  import pandas
  import numpy
  from pgmpy.models import NaiveBayes
  from pgmpy.independencies import Independencies
label_desc: Use image node_id 3 for calling the TestBaseModelCreation obj's underlying member method code with example usage: obj.test_class_init_with_data_string() without return types