code: def _validate_data(self, data, name):
      if callable(data):
          data = data(self.config)
          if not isinstance(data, tuple) or isinstance(data, list):
              raise ValueError(
                  f"You must input a data create function which returns a tuple or a list of "
                  f"(x, y) for {name} in XGBoost. "
                  f"Your function returns a {data.__class__.__name__} instead"
              )
          if len(data) != 2:
              raise ValueError(
                  f"You must input a data create function which returns a tuple or a list "
                  f"containing two elements of (x, y) for {name} in XGBoost. "
                  f"Your data create function returns {len(data)} elements instead"
              )
  
      if not (isinstance(data, tuple) or isinstance(data, list)):
          raise ValueError(
              f"You must input a tuple or a list of (x, y) for {name} in XGBoost. "
              f"Got {data.__class__.__name__}"
          )
      if len(data) != 2:
          raise ValueError(
              f"You must input a tuple or a list containing two elements of (x, y). "
              f"Got {len(data)} elements for {name} in XGBoost"
          )
      return data
  
imports: import pickle
  import pandas
  from xgboost.sklearn import XGBRegressor
  from xgboost.sklearn import XGBClassifier
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  import logging
label_desc: Use image node_id 5 for calling the XGBoost obj's underlying member method code with example usage: obj._validate_data(data, name) and returns: data