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 dataframe.
code: def _validate_and_set_dataframe(self, params):
      """Validate and set the dataframe."""
      if "dataframe" not in params:
          raise ValueError("dataframe not found in params")
  
      if isinstance(params["dataframe"], pd.DataFrame):
          self.data_df = params["dataframe"].copy()
      else:
          raise ValueError("should provide a pandas dataframe")
  
      if (
          "outcome_name" in params
          and params["outcome_name"]
          not in self.data_df.columns.tolist()
      ):
          raise UserConfigValidationException(
              "outcome_name {0} not found in {1}".format(
                  params["outcome_name"],
                  ",".join(self.data_df.columns.tolist()),
              )
          )
  
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 2 for calling the PublicData obj's underlying member method code with example usage: obj._validate_and_set_dataframe(params) without return types