class_docstr: Contains code meant to be executed by a data owner Player.
code: def __init__(
      self,
      player_name,
      num_features,
      training_set_size,
      test_set_size,
  ):
      self.player_name = player_name
      self.num_features = num_features
      self.training_set_size = training_set_size
      self.test_set_size = test_set_size
  
file_path: tf-encrypted/examples/bloom/regressor.py
imports: import numpy
  import tensorflow
  import tf_encrypted
label_desc: Use image node_id 1 to create a new DataOwner object  with example: obj = DataOwner(player_name, num_features, training_set_size, test_set_size)