code: def fit(self, X, treatment, y, p=None):
      pass
  
imports: from abc import ABCMeta, abstractclassmethod
  import logging
  import numpy
  import pandas
  from causalml.inference.meta.explainer import Explainer
  from causalml.inference.meta.utils import check_p_conditions, convert_pd_to_np
  from causalml.propensity import compute_propensity_score
label_desc: Use image node_id 1 for calling the BaseLearner obj's underlying member method code with example usage: obj.fit(X, treatment, y, p) without return types