class_docstr: Close implementation based on description in Nelson
  'Behavior of Machine Learning Algorithms in Adversarial Environments' Ch. 4.4
  
  | Textbook link: https://people.eecs.berkeley.edu/~adj/publications/paper-files/EECS-2010-140.pdf
class_docstr_tok: ["Close","implementation","based","on","description","in","Nelson","'Behavior","of","Machine","Learning","Algorithms","in","Adversarial","Environments","'","Ch",".","4.4","|","Textbook","link",":","https",":","\/\/people.eecs.berkeley.edu\/~adj\/publications\/paper-files\/EECS-2010-140.pdf"]
code: def _check_params(self) -> None:
      if len(self.x_train) != len(self.y_train):
          raise ValueError(
              "`x_train` and `y_train` do not match shape."
          )
  
      if self.eps < 0:
          raise ValueError("Value of `eps` must be at least 0.")
  
file_path: adversarial-robustness-toolbox/art/defences/detector/poison/roni.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  from copy import deepcopy
  from typing import Callable, List, Tuple, Union, TYPE_CHECKING
  import numpy
  from sklearn.model_selection import train_test_split
  from art.defences.detector.poison.ground_truth_evaluator import GroundTruthEvaluator
  from art.defences.detector.poison.poison_filtering_defence import PoisonFilteringDefence
  from art.utils import performance_diff
label_desc: Use image node_id 6 for calling the RONIDefense obj's underlying member method code with example usage: obj._check_params() without return types