code: def check_data(self, X, y):
      super().check_data(X, y)
      if (not is_dataset(X)) and (get_dim(y) != 1):
          raise ValueError("The target data should be 1-dimensional.")
  
imports: import pickle
  import re
  import gpytorch
  import numpy
  import torch
  from skorch.net import NeuralNet
  from skorch.dataset import ValidSplit
  from skorch.dataset import unpack_data
  from skorch.callbacks import EpochScoring
  from skorch.callbacks import EpochTimer
  from skorch.callbacks import PassthroughScoring
  from skorch.callbacks import PrintLog
  from skorch.utils import check_is_fitted
  from skorch.utils import get_dim
  from skorch.utils import is_dataset
  from skorch.utils import to_numpy
  from skorch.utils import to_tensor
label_desc: Use image node_id 4 for calling the GPBinaryClassifier obj's underlying member method code with example usage: obj.check_data(X, y) without return types