Source code for azure.cognitiveservices.language.luis.authoring.models.phrase_list_feature_info_py3

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from .feature_info_object_py3 import FeatureInfoObject


[docs]class PhraseListFeatureInfo(FeatureInfoObject): """Phraselist Feature. :param id: A six-digit ID used for Features. :type id: int :param name: The name of the Feature. :type name: str :param is_active: Indicates if the feature is enabled. :type is_active: bool :param phrases: A list of comma-separated values. :type phrases: str :param is_exchangeable: An exchangeable phrase list feature are serves as single feature to the LUIS underlying training algorithm. It is used as a lexicon lookup feature where its value is 1 if the lexicon contains a given word or 0 if it doesn’t. Think of an exchangeable as a synonyms list. A non-exchangeable phrase list feature has all the phrases in the list serve as separate features to the underlying training algorithm. So, if you your phrase list feature contains 5 phrases, they will be mapped to 5 separate features. You can think of the non-exchangeable phrase list feature as an additional bag of words that you are willing to add to LUIS existing vocabulary features. Think of a non-exchangeable as set of different words. Default value is true. :type is_exchangeable: bool """ _attribute_map = { 'id': {'key': 'id', 'type': 'int'}, 'name': {'key': 'name', 'type': 'str'}, 'is_active': {'key': 'isActive', 'type': 'bool'}, 'phrases': {'key': 'phrases', 'type': 'str'}, 'is_exchangeable': {'key': 'isExchangeable', 'type': 'bool'}, } def __init__(self, *, id: int=None, name: str=None, is_active: bool=None, phrases: str=None, is_exchangeable: bool=None, **kwargs) -> None: super(PhraseListFeatureInfo, self).__init__(id=id, name=name, is_active=is_active, **kwargs) self.phrases = phrases self.is_exchangeable = is_exchangeable