code: def test_glm(self, target_dist_type, y):
      clf = DAGClassifier(target_dist_type=target_dist_type)
      X = np.random.normal(size=(100, 2))
      clf.fit(X, y)
      clf.predict(X)
  
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 11 for calling the TestDAGClassifier obj's underlying member method code with example usage: obj.test_glm(target_dist_type, y) without return types