docstr: Checks approximate samples from the model against the ground truth.
docstr_tok: ["Checks","approximate","samples","from","the","model","against","the","ground","truth","."]
code: def testGermanCreditHMC(self):
      """Checks approximate samples from the model against the ground truth."""
      model = (
          logistic_regression.GermanCreditNumericLogisticRegression()
      )
  
      self.validate_ground_truth_using_hmc(
          model,
          num_chains=4,
          num_steps=4000,
          num_leapfrog_steps=5,
          step_size=0.03,
      )
  
file_path: probability/spinoffs/inference_gym/inference_gym/targets/logistic_regression_test.py
imports: from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import logistic_regression
label_desc: Use image node_id 5 for calling the LogisticRegressionTest obj's underlying member method code with example usage: obj.testGermanCreditHMC() without return types