docstr: Creates feature names (simple enumerated list) if not provided in __init__.
docstr_tok: ["Creates","feature","names","(","simple","enumerated","list",")","if","not","provided","in","__init__","."]
code: def create_feature_names(self):
      """
      Creates feature names (simple enumerated list) if not provided in __init__.
      """
      if self.features is None:
          num_features = self.X.shape[1]
          self.features = [
              "Feature_{:03d}".format(i) for i in range(num_features)
          ]
  
imports: import pandas
  import shap
  import matplotlib.pyplot
  from lightgbm import LGBMRegressor
  from sklearn.inspection import permutation_importance
  from sklearn.model_selection import train_test_split
  from copy import deepcopy
  from causalml.inference.meta.utils import convert_pd_to_np
label_desc: Use image node_id 3 for calling the Explainer obj's underlying member method code with example usage: obj.create_feature_names() without return types