class_docstr: Artificially generated dataset for logistic regression
code: def __init__(self, batch_size=32, train=True) -> None:
      self.train = train
      self.batch_size = batch_size
      if train:
          self.num_samples = 2000
      else:
          self.num_samples = 100
      self.num_features = 10
      self.num_classes = 2
      self.iterations = self.num_samples // self.batch_size
      self.file_name = None
  
imports: import tensorflow
label_desc: Use image node_id 1 to create a new LogisticArtificialDataset object  with example: obj = LogisticArtificialDataset(batch_size, train)