def get_required_resources(self):
     required_resources = self.tfidf_vectorizer_config \
         .get_required_resources()
     if self.cooccurrence_vectorizer_config:
         required_resources = merge_required_resources(
             required_resources,
             self.cooccurrence_vectorizer_config.get_required_resources())
     return required_resources
 def get_required_resources(self):
     # Resolving custom slot values must be done without stemming
     resources = {
         CUSTOM_ENTITY_PARSER_USAGE: CustomEntityParserUsage.WITHOUT_STEMS
     }
     for config in self.intent_parsers_configs:
         resources = merge_required_resources(
             resources, config.get_required_resources())
     return resources
示例#3
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    def get_required_resources(self):
        # Import here to avoid circular imports
        from snips_nlu.slot_filler.feature_factory import get_feature_factory

        resources = self.data_augmentation_config.get_required_resources()
        for config in self.feature_factory_configs:
            factory = get_feature_factory(config)
            resources = merge_required_resources(
                resources, factory.get_required_resources())
        return resources
示例#4
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 def get_required_resources(self):
     resources = self.intent_classifier_config.get_required_resources()
     resources = merge_required_resources(
         resources, self.slot_filler_config.get_required_resources())
     return resources
 def get_required_resources(self):
     resources = self.data_augmentation_config.get_required_resources()
     resources = merge_required_resources(
         resources, self.featurizer_config.get_required_resources())
     return resources
示例#6
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 def get_required_resources(self):
     resources = dict()
     for config in self.intent_parsers_configs:
         resources = merge_required_resources(
             resources, config.get_required_resources())
     return resources