code: def test_ci(self):
      df = adult_census()
      cm = tabular.causalinference.causal_inference_model(
          df,
          metalearner_type="t-learner",
          treatment_col="treatment",
          outcome_col="class",
          ignore_cols=["fnlwgt", "education", "education-num"],
      ).fit()
      ate = cm.estimate_ate()
      self.assertGreater(ate["ate"], 0.20)
      self.assertLess(ate["ate"], 0.21)
  
file_path: ktrain/tests/test_ci.py
imports: from unittest import TestCase, main, skip
  import numpy
  import testenv
  from ktrain import tabular
label_desc: Use image node_id 1 for calling the TestCausalInference obj's underlying member method code with example usage: obj.test_ci() without return types