code: def test_demo_estimator_random_init(self):
      estimator = SEMEstimator(self.demo)
      summary = estimator.fit(self.demo_data, method="ml")
  
file_path: pgmpy/pgmpy/tests/test_estimators/test_SEMEstimator.py
imports: import unittest
  import numpy
  import pandas
  import torch
  from pgmpy import config
  from pgmpy.estimators import IVEstimator, SEMEstimator
  from pgmpy.models import SEM, SEMGraph
label_desc: Use image node_id 3 for calling the TestSEMEstimator obj's underlying member method code with example usage: obj.test_demo_estimator_random_init() without return types