code: def test_sklearn_compatibility_clf(self):
      clf = DAGClassifier(
          alpha=0.0,
          fit_intercept=True,
          dependent_target=True,
          hidden_layer_units=[0],
          standardize=True,
      )
      clf.get_params(deep=True)
  
imports: import os
  import IPython
  import networkx
  import numpy
  import pandas
  import pytest
  import torch
  from sklearn.exceptions import NotFittedError
  from sklearn.gaussian_process.kernels import RBF
  from sklearn.model_selection import KFold, cross_val_score
  from causalnex.structure import data_generators
  from causalnex.structure.pytorch import DAGClassifier, DAGRegressor
label_desc: Use image node_id 12 for calling the TestDAGClassifier obj's underlying member method code with example usage: obj.test_sklearn_compatibility_clf() without return types