Model - List Intent Suggestions

Reference

Service:: Cognitive Services - LUIS

API Version:: 2.0

Suggests example utterances that would improve the accuracy of the intent model in a version of the application.

GET {Endpoint}/luis/api/v2.0/apps/{appId}/versions/{versionId}/intents/{intentId}/suggest

With optional parameters:

GET {Endpoint}/luis/api/v2.0/apps/{appId}/versions/{versionId}/intents/{intentId}/suggest?take={take}

URI Parameters

Name	In	Required	Type	Description
appId	path	True	string uuid	The application ID.
Endpoint	path	True	string	Supported Cognitive Services endpoints (protocol and hostname, for example: https://westus.api.cognitive.microsoft.com).
intentId	path	True	string uuid	The intent classifier ID.
versionId	path	True	string	The version ID.
take	query		integer	The number of entries to return. Maximum page size is 500. Default is 100.

Request Header

Name	Required	Type	Description
Ocp-Apim-Subscription-Key	True	string

Responses

Name	Type	Description
200 OK	IntentsSuggestionExample[]	If there's no trained intent model, nothing is returned in the response. If there's a trained model and active learning finds any relevant queries, they are returned with the intent model predictions. If there's a trained model but active learning didn't find any relevant queries, an empty list is returned in the response.
Other Status Codes	ErrorResponse	Error Response.

Security

Ocp-Apim-Subscription-Key

Type: apiKey
In: header

Examples

Successful Get Intents Suggestion Examples

Sample request

HTTP

GET {Endpoint}/luis/api/v2.0/apps/86226c53-b7a6-416f-876b-226b2b5ab07b/versions/0.1/intents/3d73462d-98f0-4dcd-8d30-fab9e65f2e73/suggest

Sample response

Status code:: 200

[
  {
    "text": "hey",
    "tokenizedText": [
      "hey"
    ],
    "intentPredictions": [
      {
        "name": "None",
        "score": 0.65
      },
      {
        "name": "FindAirportByCode",
        "score": 0.02
      },
      {
        "name": "WeatherInPlace",
        "score": 0.01
      },
      {
        "name": "TimeInPlace",
        "score": 0
      },
      {
        "name": "FindHotels-ChangeLocation",
        "score": 0
      },
      {
        "name": "FindHotels",
        "score": 0
      }
    ],
    "entityPredictions": []
  },
  {
    "text": "2-2-2017",
    "tokenizedText": [
      "2",
      "-",
      "2",
      "-",
      "2017"
    ],
    "intentPredictions": [
      {
        "name": "None",
        "score": 0.88
      },
      {
        "name": "TimeInPlace",
        "score": 0
      },
      {
        "name": "FindAirportByCode",
        "score": 0
      },
      {
        "name": "FindHotels-ChangeLocation",
        "score": 0
      },
      {
        "name": "FindHotels",
        "score": 0
      },
      {
        "name": "WeatherInPlace",
        "score": 0
      }
    ],
    "entityPredictions": [
      {
        "entityName": "datetime",
        "startTokenIndex": 0,
        "endTokenIndex": 4,
        "phrase": "2-2-2017"
      }
    ]
  },
  {
    "text": "maybe find me an airport first",
    "tokenizedText": [
      "maybe",
      "find",
      "me",
      "an",
      "airport",
      "first"
    ],
    "intentPredictions": [
      {
        "name": "FindAirportByCode",
        "score": 0.99
      },
      {
        "name": "FindHotels",
        "score": 0.01
      },
      {
        "name": "TimeInPlace",
        "score": 0
      },
      {
        "name": "None",
        "score": 0
      },
      {
        "name": "FindHotels-ChangeLocation",
        "score": 0
      },
      {
        "name": "WeatherInPlace",
        "score": 0
      }
    ],
    "entityPredictions": []
  },
  {
    "text": "as",
    "tokenizedText": [
      "as"
    ],
    "intentPredictions": [
      {
        "name": "None",
        "score": 0.98
      },
      {
        "name": "FindAirportByCode",
        "score": 0.01
      },
      {
        "name": "WeatherInPlace",
        "score": 0.01
      },
      {
        "name": "TimeInPlace",
        "score": 0
      },
      {
        "name": "FindHotels-ChangeLocation",
        "score": 0
      },
      {
        "name": "FindHotels",
        "score": 0
      }
    ],
    "entityPredictions": []
  },
  {
    "text": "find hotel in barcelona",
    "tokenizedText": [
      "find",
      "hotel",
      "in",
      "barcelona"
    ],
    "intentPredictions": [
      {
        "name": "FindHotels",
        "score": 1
      },
      {
        "name": "TimeInPlace",
        "score": 0
      },
      {
        "name": "None",
        "score": 0
      },
      {
        "name": "FindAirportByCode",
        "score": 0
      },
      {
        "name": "FindHotels-ChangeLocation",
        "score": 0
      },
      {
        "name": "WeatherInPlace",
        "score": 0
      }
    ],
    "entityPredictions": [
      {
        "entityName": "Renamed Entity",
        "startTokenIndex": 3,
        "endTokenIndex": 3,
        "phrase": "barcelona"
      },
      {
        "entityName": "geography",
        "startTokenIndex": 3,
        "endTokenIndex": 3,
        "phrase": "barcelona"
      }
    ]
  }
]

Definitions

Name	Description
EntityPrediction	A suggested entity.
ErrorResponse	Error response when invoking an operation on the API.
IntentPrediction	A suggested intent.
IntentsSuggestionExample	Predicted/suggested intent.

EntityPrediction

A suggested entity.

Name	Type	Description
endTokenIndex	integer	The index within the utterance where the extracted entity ends.
entityName	string	The entity's name
phrase	string	The actual token(s) that comprise the entity.
startTokenIndex	integer	The index within the utterance where the extracted entity starts.

ErrorResponse

Error response when invoking an operation on the API.

Name	Type	Description
errorType	string

IntentPrediction

A suggested intent.

Name	Type	Description
name	string	The intent's name
score	number	The intent's score, based on the prediction model.

IntentsSuggestionExample

Predicted/suggested intent.

Name	Type	Description
entityPredictions	EntityPrediction[]	Predicted/suggested entities.
intentPredictions	IntentPrediction[]	Predicted/suggested intents.
text	string	The utterance. For example, "What's the weather like in seattle?"
tokenizedText	string[]	The tokenized utterance.

Megosztás a következőn keresztül: