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articles/cognitive-services/language-service/conversational-language-understanding/includes/rest-api/get-deployment-status.md

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When you send a successful deployment request, the full request URL for checking the job's status (including your endpoint, project name, and job ID) is contained in the response's `operation-location` header.
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Use the following **GET** request to get the status of your deployment job. Replace the placeholder values below with your own values.
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Use the following **GET** request to get the status of your deployment job. Replace the placeholder values with your own values.
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### Request URL
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|`{PROJECT-NAME}` | The name for your project. This value is case-sensitive. | `myProject` |
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|`{DEPLOYMENT-NAME}` | The name for your deployment. This value is case-sensitive. | `staging` |
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|`{JOB-ID}` | The ID for locating your model's training status. | `xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxxx` |
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|`{API-VERSION}` | The version of the API you are calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data). | `2022-05-01` |
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|`{API-VERSION}` | The version of the API you're calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data). | `2022-05-01` |
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### Headers
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### Response Body
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Once you send the request, you will get the following response. Keep polling this endpoint until the **status** parameter changes to "succeeded".
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Once you send the request, you'll get the following response. Keep polling this endpoint until the **status** parameter changes to "succeeded".
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```json
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{

articles/cognitive-services/language-service/conversational-language-understanding/includes/rest-api/get-import-status.md

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When you send a successful project import request, the full request URL for checking the import job's status (including your endpoint, project name, and job ID) is contained in the response's `operation-location` header.
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Use the following **GET** request to query the status of your import job. You can use the URL you received from the previous step, or replace the placeholder values below with your own values.
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Use the following **GET** request to query the status of your import job. You can use the URL you received from the previous step, or replace the placeholder values with your own values.
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```rest
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{ENDPOINT}/language/authoring/analyze-conversations/projects/{PROJECT-NAME}/import/jobs/{JOB-ID}?api-version={API-VERSION}
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|`{ENDPOINT}` | The endpoint for authenticating your API request. | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
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|`{PROJECT-NAME}` | The name for your project. This value is case-sensitive. | `myProject` |
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|`{JOB-ID}` | The ID for locating your import job status. | `xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxxx` |
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|`{API-VERSION}` | The version of the API you are calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data). | `2022-05-01` |
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|`{API-VERSION}` | The version of the API you're calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data). | `2022-05-01` |
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#### Headers
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#### Response body
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Once you send the request, you will get the following response. Keep polling this endpoint until the status parameter changes to "succeeded".
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Once you send the request, you'll get the following response. Keep polling this endpoint until the status parameter changes to "succeeded".
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```json

articles/cognitive-services/language-service/conversational-language-understanding/includes/rest-api/import-project.md

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### Request URL
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Use the following URL when creating your API request. Replace the placeholder values below with your own values.
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Use the following URL when creating your API request. Replace the placeholder values with your own values.
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```rest
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{ENDPOINT}/language/authoring/analyze-conversations/projects/{PROJECT-NAME}/:import?api-version={API-VERSION}
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|Placeholder |Value | Example |
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|---------|---------|---------|
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|`{ENDPOINT}` | The endpoint for authenticating your API request. | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
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|`{PROJECT-NAME}` | The name for your project. This value is case-sensitive, and must match the Project name in the JSON file you're importing. | `EmailAppDemo` |
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|`{PROJECT-NAME}` | The name for your project. This value is case-sensitive, and must match the project name in the JSON file you're importing. | `EmailAppDemo` |
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|`{API-VERSION}` | The version of the API you're calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data). | `2022-05-01` |
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### Headers
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### Body
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The JSON body you send will look similar to the below. See the [reference documentation](/rest/api/language/2022-10-01-preview/conversational-analysis-authoring/import?tabs=HTTP#successful-import-project) for more details about the JSON object.
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The JSON body you send is similar to the following example. See the [reference documentation](/rest/api/language/2022-10-01-preview/conversational-analysis-authoring/import?tabs=HTTP#successful-import-project) for more details about the JSON object.
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```json
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{
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| api-version | `{API-VERSION}` | The version of the API you're calling. The version used here must be the same API model version in the URL. See the [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data) article to learn more. | `2022-05-01` |
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| `projectName` | `{PROJECT-NAME}` | The name of your project. This value is case-sensitive. | `EmailAppDemo` |
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| `language` | `{LANGUAGE-CODE}` | A string specifying the language code for the utterances used in your project. If your project is a multilingual project, choose the [language code](../../language-support.md) of the majority of the utterances. |`en-us`|
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| `multilingual` | `true`| A boolean value that enables you to have documents in multiple languages in your dataset. When your model is deployed, you can query the model in any [supported language](../../language-support.md#multi-lingual-option). This includes languages that aren't included in your training documents. | `true`|
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| `multilingual` | `true`| A boolean value that enables you to have documents in multiple languages in your dataset. When your model is deployed, you can query the model in any [supported language](../../language-support.md#multi-lingual-option) including languages that aren't included in your training documents. | `true`|
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| `dataset` | `{DATASET}` | See [how to train a model](../../how-to/tag-utterances.md) for information on splitting your data between a testing and training set. Possible values for this field are `Train` and `Test`. |`Train`|
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Upon a successful request, the API response will contain an `operation-location` header with a URL you can use to check the status of the import job. It will be formatted like this:
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Upon a successful request, the API response will contain an `operation-location` header with a URL you can use to check the status of the import job. It is formatted like this:
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```http
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{ENDPOINT}/language/authoring/analyze-conversations/projects/{PROJECT-NAME}/import/jobs/{JOB-ID}?api-version={API-VERSION}

articles/cognitive-services/language-service/conversational-language-understanding/includes/rest-api/train-model.md

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ms.service: cognitive-services
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ms.subservice: language-service
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ms.topic: include
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ms.date: 05/12/2022
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ms.date: 03/17/2023
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ms.author: aahi
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---
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### Request URL
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Use the following URL when creating your API request. Replace the placeholder values below with your own values.
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Use the following URL when creating your API request. Replace the placeholder values with your own values.
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```rest
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{ENDPOINT}/language/authoring/analyze-conversations/projects/{PROJECT-NAME}/:train?api-version={API-VERSION}
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|---------|---------|---------|
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|`{ENDPOINT}` | The endpoint for authenticating your API request. | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
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|`{PROJECT-NAME}` | The name for your project. This value is case-sensitive. | `EmailApp` |
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|`{API-VERSION}` | The version of the API you are calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data) released. | `2022-05-01` |
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|`{API-VERSION}` | The version of the API you're calling. The value referenced here is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data) released. | `2022-05-01` |
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### Headers
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### Request body
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Use the following object in your request. The model will be named `MyModel` once training is complete.
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Use the following object in your request. The model will be named after the value you use for the `modellabel` parameter once training is complete.
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```json
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