code: def create_estimation_obj(model_obj,
                            init_vals,
                            mappings=None,
                            ridge=None,
                            constrained_pos=None,
                            weights=None):
      mapping_matrices =\
          model_obj.get_mappings_for_fit() if mappings is None else mappings
      zero_vector = np.zeros(init_vals.shape[0])
      internal_model_name = display_name_to_model_type[model_obj.model_type]
      estimator_class, current_split_func =\
          (model_type_to_resources[internal_model_name]['estimator'],
           model_type_to_resources[internal_model_name]['split_func'])
      estimation_obj = estimator_class(model_obj,
                                       mapping_matrices,
                                       ridge,
                                       zero_vector,
                                       current_split_func,
                                       constrained_pos,
                                       weights=weights)
      return estimation_obj