code: def __init__(self, reg_layer, number_of_outputs=1):
      super().__init__(name="test")
      self.output_layer = tf.keras.layers.Dense(
          number_of_outputs, kernel_regularizer=reg_layer
      )
  
imports: import tensorflow
  from tensorflow_privacy.privacy.bolt_on import losses
  from tensorflow_privacy.privacy.bolt_on import models
  from tensorflow_privacy.privacy.bolt_on.optimizers import BoltOn
label_desc: Use image node_id 1 to create a new TestModel object from inherited base classes: tf.keras with example: obj = TestModel(reg_layer, number_of_outputs)