docstr: Return the maximum batchsize for the dataset.
docstr_tok: ["Return","the","maximum","batchsize","for","the","dataset","."]
code: def max_batch_size(self):
      """
      Return the maximum batchsize for the dataset.
      """
  
      return int(np.min([self.max_rows, self.N]))
  
imports: import os
  import pickle
  import sys
  import time
  import numpy
  import scipy.sparse
  from sklearn.datasets import load_svmlight_file
  import torch
  from torch.utils.data import DataLoader, Dataset
  from torch.utils.data.dataloader import _SingleProcessDataLoaderIter, _MultiProcessingDataLoaderIter, _utils
  from .None import constants
  from .None import syssettings
label_desc: Use image node_id 15 for calling the PrepareData obj's underlying member method code with example usage: obj.max_batch_size() and returns: int