# Copyright 2019 kubeflow.org.
#
# 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 typing import List, Dict


class KFModel(object):

    def __init__(self, name: str):
        self.name = name
        self.ready = False

    def load(self):
        raise NotImplementedError

    def preprocess(self, inputs: Dict) -> Dict:
        return inputs

    def predict(self, inputs: List) -> List:
        raise NotImplementedError

    def postprocess(self, inputs: List) -> List:
        return inputs

    def explain(self, inputs: List) -> Dict:
        raise NotImplementedError

    # TODO return type TBD
    def detect_outlier(self, inputs: List):
        raise NotImplementedError
