class_docstr: A data interface for public data. This class is an interface to DiCE explainers
  and contains methods to transform user-fed raw data into the format a DiCE explainer
  requires, and vice versa.
class_docstr_tok: ["A","data","interface","for","public","data",".","This","class","is","an","interface","to","DiCE","explainers","and","contains","methods","to","transform","user-fed","raw","data","into","the","format","a","DiCE","explainer","requires",",","and","vice","versa","."]
code: def get_all_dummy_colnames(self):
      return pd.get_dummies(self.data_df[self.feature_names]).columns
  
imports: import logging
  from collections import defaultdict
  import numpy
  import pandas
  from raiutils.exceptions import UserConfigValidationException
  from sklearn.preprocessing import LabelEncoder
  from dice_ml.data_interfaces.base_data_interface import _BaseData
  from dice_ml.utils.exception import SystemException
label_desc: Use image node_id 29 for calling the PublicData obj's underlying member method code with example usage: obj.get_all_dummy_colnames() and returns: pd