Python ProbabilisticIntentParser.intent_classifier Exemples

Exemple #1

Fichier : test_probabilistic_intent_parser.py Projet : abhishekyana/Natural-Language-Understanding

    def test_should_not_retrain_intent_classifier_when_no_force_retrain(self):
        # Given
        dataset_stream = io.StringIO("""
---
type: intent
name: MakeTea
utterances:
- make me a [beverage_temperature:Temperature](hot) cup of tea
- make me [number_of_cups:snips/number](five) tea cups

---
type: intent
name: MakeCoffee
utterances:
- make me [number_of_cups:snips/number](one) cup of coffee please
- brew [number_of_cups] cups of coffee""")
        dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
        parser = ProbabilisticIntentParser()
        intent_classifier = LogRegIntentClassifier()
        intent_classifier.fit(dataset)
        parser.intent_classifier = intent_classifier

        # When / Then
        with patch("snips_nlu.intent_classifier.log_reg_classifier"
                   ".LogRegIntentClassifier.fit") as mock_fit:
            parser.fit(dataset, force_retrain=False)
            mock_fit.assert_not_called()

Exemple #2

    def test_should_not_retrain_intent_classifier_when_no_force_retrain(self):
        # Given
        parser = ProbabilisticIntentParser()
        intent_classifier = LogRegIntentClassifier()
        intent_classifier.fit(BEVERAGE_DATASET)
        parser.intent_classifier = intent_classifier

        # When / Then
        with patch("snips_nlu.intent_classifier.log_reg_classifier"
                   ".LogRegIntentClassifier.fit") as mock_fit:
            parser.fit(BEVERAGE_DATASET, force_retrain=False)
            mock_fit.assert_not_called()