#
# 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.
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from abc import ABCMeta, abstractmethod
from zoo.tfpark import KerasModel as TFParkKerasModel
import tensorflow as tf
from zoo.chronos.forecaster.abstract import Forecaster
[docs]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