9cecc52e1fbf8b281d88244f6c43d2b76e374993,snips_nlu/nlu_engine/nlu_engine.py,SnipsNLUEngine,parse,#SnipsNLUEngine#Any#Any#,34

Before Change

                                 "`parse`")
        language = Language.from_iso_code(
            self.dataset_metadata["language_code"])
        return parse(text, self.dataset_metadata["entities"], language,
                     self.intent_parsers, intent)

    def fit(self, dataset, intents=None):
        
        Fit the NLU engine.

After Change

        entities = self._dataset_metadata["entities"]

        for parser in self.intent_parsers:
            res = parser.parse(text, intents)
            if is_empty(res):
                continue
            slots = res[RES_SLOTS]
            scope = [BuiltInEntity.from_label(s[RES_ENTITY]) for s in slots
                     if is_builtin_entity(s[RES_ENTITY])]
            resolved_slots = resolve_slots(text, slots, entities, language,
                                           scope)
            return parsing_result(text, intent=res[RES_INTENT],
                                  slots=resolved_slots)
        return empty_result(text)

Instances