text: class MODEL_PIPELINE:
      def __init__(self, config=None, data_pipeline=None):
          self._config = config
          self.compile()
  
      def compile(self):
          return 
  
      def train(self):
          return
  
      def train_step(self, x, y):
          return
  
      def summary(self):
          return
          
      def callback(self):
          return
          
      def model(self):
          return
  
      def plot_model(self):
          return
  
      def save(self, only_weights=False):
          return
  
      def load(self, model_path='./models'):
          return
  
      def predict(self, x):
          return