old_contents: #
  # Copyright 2018 Analytics Zoo Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  from abc import ABCMeta, abstractmethod
  from zoo.tfpark import KerasModel as TFParkKerasModel
  import tensorflow as tf
  from bigdl.chronos.forecaster.abstract import Forecaster
  
  
  class TFParkForecaster(TFParkKerasModel, Forecaster, metaclass=ABCMeta):
      """
      Base class for TFPark KerasModel based Forecast models.
      """
  
      def __init__(self):
          """
          Build a tf.keras model.
          Turns the tf.keras model returned from _build into a tfpark.KerasModel
          """
          self.model = self._build()
          assert (isinstance(self.model, tf.keras.Model))
          super().__init__(self.model)
  
      @abstractmethod
      def _build(self):
          """
          Build a tf.keras model.
  
          :return: a tf.keras model (compiled)
          """
          pass
  
new_contents: #
  # Copyright 2018 Analytics Zoo Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  from abc import ABCMeta, abstractmethod
  from bigdl.orca.tfpark import KerasModel as TFParkKerasModel
  import tensorflow as tf
  from bigdl.chronos.forecaster.abstract import Forecaster
  
  
  class TFParkForecaster(TFParkKerasModel, Forecaster, metaclass=ABCMeta):
      """
      Base class for TFPark KerasModel based Forecast models.
      """
  
      def __init__(self):
          """
          Build a tf.keras model.
          Turns the tf.keras model returned from _build into a tfpark.KerasModel
          """
          self.model = self._build()
          assert (isinstance(self.model, tf.keras.Model))
          super().__init__(self.model)
  
      @abstractmethod
      def _build(self):
          """
          Build a tf.keras model.
  
          :return: a tf.keras model (compiled)
          """
          pass
  
subject: change import of tfpark