Python FeatureExtractor Examples

Example #1

File: executor.py Project: Machyne/pal

 def post(self):
     params = {x: request.form[x] for x in request.form}
     StandardNLP.process(params)
     FeatureExtractor.process(params)
     Classifier.process(params)
     Executor.process(params)
     return params

Example #2

File: executor.py Project: Machyne/pal

 def post(self):
     params = {x: request.form[x] for x in request.form}
     StandardNLP.process(params)
     FeatureExtractor.process(params)
     Classifier.process(params)
     Executor.process(params)
     return params

Example #3

File: engine.py Project: Machyne/pal

 def process(cls, params):
     Validator.process(params)
     if 'error' in params:
         cls.LOGGER.error(message=params['error'])
         abort(404, message=params['error'])
     StandardNLP.process(params)
     FeatureExtractor.process(params)
     Classifier.process(params)
     Executor.process(params)
     Logger.process(params)
     Sanitizer.process(params)

Example #4

File: test_nlp.py Project: Machyne/pal

def test_question_type():
    for test in test_cases:
        sent, tokens, exp_features = test
        processed = StandardNLP.process(sent)
        features = FeatureExtractor.extract_features(processed)
        assert features['questionType'] == exp_features['questionType']

Example #5

File: test_nlp.py Project: Machyne/pal

def test_nouns():
    for test in test_cases:
        sent, tokens, exp_features = test
        processed = StandardNLP.process(sent)
        features = FeatureExtractor.extract_features(processed)
        assert features['nouns'] == exp_features['nouns']

Example #6

def test_question_type():
    for test in test_cases:
        sent, tokens, exp_features = test
        processed = StandardNLP.process(sent)
        features = FeatureExtractor.extract_features(processed)
        assert features['questionType'] == exp_features['questionType']

Example #7

def test_nouns():
    for test in test_cases:
        sent, tokens, exp_features = test
        processed = StandardNLP.process(sent)
        features = FeatureExtractor.extract_features(processed)
        assert features['nouns'] == exp_features['nouns']