docstr: This is never actually called. It's just here to document the attributes being used
docstr_tok: ["This","is","never","actually","called",".","It","'s","just","here","to","document","the","attributes","being","used"]
code: def __init__(
      self, data_holdout, feature_engineer, experiment_params, cv_params
  ):
      """This is never actually called. It's just here to document the attributes being used"""
      self.data_holdout = data_holdout
      self.feature_engineer = feature_engineer
      self.experiment_params = experiment_params
      self.cv_params = cv_params
  
      self.__assert_prediction_is_none(["final", "rep", "fold", "run"])
  
imports: from hyperparameter_hunter import Environment, CVExperiment
  from hyperparameter_hunter.callbacks.bases import BaseCallback
  from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.utils.learning_utils import get_breast_cancer_data
  from copy import deepcopy
  import pandas
  import pytest
  from sklearn.datasets import load_iris
  from sklearn.metrics import f1_score
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import LabelEncoder
  from xgboost import XGBClassifier
label_desc: Use image node_id 1 to create a new DummyExperimentPredictorHoldout object from inherited base classes: BaseCallback with example: obj = DummyExperimentPredictorHoldout(data_holdout, feature_engineer, experiment_params, cv_params)