docstr: Generate set of random seeds for each repetition/fold/run if not provided
docstr_tok: ["Generate","set","of","random","seeds","for","each","repetition\/fold\/run","if","not","provided"]
code: def _random_seed_initializer(self):
      """Generate set of random seeds for each repetition/fold/run if not provided"""
      if self.experiment_params["random_seeds"] is None:
          self.experiment_params["random_seeds"] = np.random.randint(
              *self.experiment_params["random_seed_bounds"],
              size=(
                  self.cv_params.get("n_repeats", 1),
                  self.cv_params["n_splits"],
                  self.experiment_params["runs"],
              ),
          ).tolist()
      G.debug("BaseExperiment._random_seed_initializer() done")
  
imports: from hyperparameter_hunter.algorithm_handlers import identify_algorithm, identify_algorithm_hyperparameters
  from hyperparameter_hunter.data import TrainDataset, OOFDataset, HoldoutDataset, TestDataset
  from hyperparameter_hunter.experiment_core import ExperimentMeta
  from hyperparameter_hunter.feature_engineering import FeatureEngineer
  from hyperparameter_hunter.i_o.exceptions import EnvironmentInactiveError, EnvironmentInvalidError, RepeatedExperimentError
  from hyperparameter_hunter.i_o.recorders import RecorderList
  from hyperparameter_hunter.keys.makers import HyperparameterKeyMaker
  from hyperparameter_hunter.metrics import ScoringMixIn, get_formatted_target_metric
  from hyperparameter_hunter.models import model_selector
  from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.utils.file_utils import RetryMakeDirs
  from abc import abstractmethod
  from copy import deepcopy
  from inspect import isclass
  import numpy
  import pandas
  import random
  import shutil
  from sys import exc_info
  from uuid import uuid4
  import warnings
  import sklearn.utils
label_desc: Use image node_id 17 for calling the BaseExperiment obj's underlying member method code with example usage: obj._random_seed_initializer() without return types