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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
#
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# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from senpy import SentimentBox, easy_test
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from mypipeline import pipeline
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class PipelineSentiment(SentimentBox):
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'''This is a pipeline plugin that wraps a classifier defined in another module
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(mypipeline).'''
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author = '@balkian'
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version = 0.1
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maxPolarityValue = 1
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minPolarityValue = -1
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def predict_one(self, features, **kwargs):
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if pipeline.predict(features) > 0:
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return [1, 0, 0]
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return [0, 0, 1]
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test_cases = [
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{
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'input': 'The sentiment for senpy should be positive :)',
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'polarity': 'marl:Positive'
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},
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{
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'input': 'The sentiment for senpy should be negative :(',
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'polarity': 'marl:Negative'
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}
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]
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if __name__ == '__main__':
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easy_test()
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