#
# 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 ABC, abstractmethod
[docs]class Pipeline(ABC):
"""
The pipeline object which is used to store the series of transformation of features and model
"""
[docs] @abstractmethod
def evaluate(self, input_df, metric=None):
"""
evaluate the pipeline
:param input_df: input data frame
:param metric: the evaluation metric
:return:
"""
pass
[docs] @abstractmethod
def predict(self, input_df):
"""
predict using the pipeline
:param input_df: input data frame
:return: the prediction result
"""
pass
[docs] @abstractmethod
def save(self, file):
"""
save the pipeline to a file
:param file: the pipeline file
:return: a pipeline object
"""
pass