class_docstr: Creates random exog features. This is just used to test base func
class_docstr_tok: ["Creates","random","exog","features",".","This","is","just","used","to","test","base","func"]
code: def transform(self, y, X=None, n_periods=0, **_):
      Xt = np.random.rand(y.shape[0], 4)
      Xt = self._safe_hstack(X, Xt)
      return y, Xt
  
file_path: pmdarima/pmdarima/preprocessing/exog/tests/test_base.py
imports: from pmdarima.preprocessing.exog import base
  from pmdarima import datasets
  import numpy
  import pandas
label_desc: Use image node_id 3 for calling the RandomExogFeaturizer obj's underlying member method code with example usage: obj.transform(y, X, n_periods) and returns: y,  Xt