class_docstr: Secure multi-party linear regression at plaintext speed.
  
  Computes the necessary components of the normal equations solution to a
  linear regression.
code: def __getattribute__(self, attr):
      # We will only use numpy arrays for storage, so we can safely lift them
      # into a tf.Tensor whenever they're requested.
      obj = super().__getattribute__(attr)
      if isinstance(obj, np.ndarray):
          return tf.constant(obj)
      return obj
  
file_path: tf-encrypted/examples/bloom/regressor.py
imports: import numpy
  import tensorflow
  import tf_encrypted
label_desc: Use image node_id 6 for calling the BloomRegressor obj's underlying member method code with example usage: obj.__getattribute__(attr) and returns: obj, tf