libraries/botbuilder-ai/botbuilder/ai/luis/luis_recognizer.py
async def recognize(
        self,
        turn_context: TurnContext,
        telemetry_properties: Dict[str, str] = None,
        telemetry_metrics: Dict[str, float] = None,
    ) -> RecognizerResult:
        """Return results of the analysis (Suggested actions and intents).
        
        :param turn_context: Context object containing information for a single turn of conversation with a user.
        :type turn_context: TurnContext
        :param telemetry_properties: Additional properties to be logged to telemetry with the LuisResult event, defaults to None
        :param telemetry_properties: Dict[str, str], optional
        :param telemetry_metrics: Additional metrics to be logged to telemetry with the LuisResult event, defaults to None
        :param telemetry_metrics: Dict[str, float], optional
        :return: The LUIS results of the analysis of the current message text in the current turn's context activity.
        :rtype: RecognizerResult
        """

        return await self._recognize_internal(
            turn_context, telemetry_properties, telemetry_metrics
        )
async def recognize(
        self,
        turn_context: TurnContext,
        telemetry_properties: Dict[str, str] = None,
        telemetry_metrics: Dict[str, float] = None,
    ) -> RecognizerResult:
        """Return results of the analysis (Suggested actions and intents).
        
        :param turn_context: Context object containing information for a single turn of conversation with a user.
        :type turn_context: TurnContext
        :param telemetry_properties: Additional properties to be logged to telemetry with the LuisResult event, defaults to None
        :param telemetry_properties: Dict[str, str], optional
        :param telemetry_metrics: Additional metrics to be logged to telemetry with the LuisResult event, defaults to None
        :param telemetry_metrics: Dict[str, float], optional
        :return: The LUIS results of the analysis of the current message text in the current turn's context activity.
        :rtype: RecognizerResult
        """

        return await self._recognize_internal(
            turn_context, telemetry_properties, telemetry_metrics
        )
async def recognize ( self , turn_context : TurnContext , telemetry_properties : Dict [ str , str ] = None , telemetry_metrics : Dict [ str , float ] = None , ) -> RecognizerResult : return await self . _recognize_internal ( turn_context , telemetry_properties , telemetry_metrics )
Return results of the analysis (Suggested actions and intents).
        
        :param turn_context: Context object containing information for a single turn of conversation with a user.
        :type turn_context: TurnContext
        :param telemetry_properties: Additional properties to be logged to telemetry with the LuisResult event, defaults to None
        :param telemetry_properties: Dict[str, str], optional
        :param telemetry_metrics: Additional metrics to be logged to telemetry with the LuisResult event, defaults to None
        :param telemetry_metrics: Dict[str, float], optional
        :return: The LUIS results of the analysis of the current message text in the current turn's context activity.
        :rtype: RecognizerResult
Return results of the analysis ( Suggested actions and intents ) . : param turn_context : Context object containing information for a single turn of conversation with a user . : type turn_context : TurnContext : param telemetry_properties : Additional properties to be logged to telemetry with the LuisResult event defaults to None : param telemetry_properties : Dict [ str str ] optional : param telemetry_metrics : Additional metrics to be logged to telemetry with the LuisResult event defaults to None : param telemetry_metrics : Dict [ str float ] optional : return : The LUIS results of the analysis of the current message text in the current turn s context activity . : rtype : RecognizerResult