1
0
mirror of https://github.com/gsi-upm/senpy synced 2024-11-25 09:32:29 +00:00
senpy/example-plugins/sklearn/pipeline_plugin.py
2019-07-17 16:29:30 +02:00

49 lines
1.4 KiB
Python

#
# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
#
# 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 senpy import SentimentBox, easy_test
from mypipeline import pipeline
class PipelineSentiment(SentimentBox):
'''This is a pipeline plugin that wraps a classifier defined in another module
(mypipeline).'''
author = '@balkian'
version = 0.1
maxPolarityValue = 1
minPolarityValue = -1
def predict_one(self, features, **kwargs):
if pipeline.predict(features) > 0:
return [1, 0, 0]
return [0, 0, 1]
test_cases = [
{
'input': 'The sentiment for senpy should be positive :)',
'polarity': 'marl:Positive'
},
{
'input': 'The sentiment for senpy should be negative :(',
'polarity': 'marl:Negative'
}
]
if __name__ == '__main__':
easy_test()