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.
docstr: Validate and set the list of continuous features.
code: def _validate_and_set_continuous_features(self, params):
      """Validate and set the list of continuous features."""
      if "continuous_features" not in params:
          raise ValueError("continuous_features should be provided")
  
      if isinstance(params["continuous_features"], list):
          self.continuous_feature_names = params["continuous_features"]
      else:
          raise ValueError(
              "should provide the name(s) of continuous features in the data as a list"
          )
  
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 3 for calling the PublicData obj's underlying member method code with example usage: obj._validate_and_set_continuous_features(params) without return types