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Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/concept/incremental-classifier.md
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@@ -6,7 +6,7 @@ author: laujan
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manager: nitinme
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ms.service: azure-ai-document-intelligence
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ms.topic: conceptual
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ms.date: 11/19/2024
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ms.date: 02/27/2025
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ms.author: vikurpad
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ms.custom:
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monikerRange: '>=doc-intel-4.0.0'
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### Create an incremental classifier build request
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The incremental classifier build request is similar to the [`classify document` build request](/rest/api/aiservices/document-classifiers?view=rest-aiservices-v4.0%20(2024-02-29-preview)&preserve-view=true) but includes the new `baseClassifierId` property. The `baseClassifierId` is set to the existing classifier that you want to extend. You also need to provide the `docTypes` for the different document types in the sample set. By providing a `docType` that exists in the baseClassifier, the samples provided in the request are added to the samples provided when the base classifier was trained. New `docType` values added in the incremental training are only added to the new classifier. The process to specify the samples remains unchanged. For more information, *see*[training a classifier model](../train/custom-classifier.md#training-a-model).
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The incremental classifier build request is similar to the [`classify document` build request](/rest/api/aiservices/document-classifiers?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true) but includes the new `baseClassifierId` property. The `baseClassifierId` is set to the existing classifier that you want to extend. You also need to provide the `docTypes` for the different document types in the sample set. By providing a `docType` that exists in the baseClassifier, the samples provided in the request are added to the samples provided when the base classifier was trained. New `docType` values added in the incremental training are only added to the new classifier. The process to specify the samples remains unchanged. For more information, *see*[training a classifier model](../train/custom-classifier.md#training-a-model).
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### Sample POST request
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***Sample `POST` request to build an incremental document classifier***
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/how-to-guides/disaster-recovery.md
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ms.service: azure-ai-document-intelligence
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ms.topic: how-to
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ms.date: 02/20/2025
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ms.date: 02/27/2025
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ms.author: lajanuar
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---
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The following HTTP request gets copy authorization from your target resource. You need to enter the endpoint and key of your target resource as headers.
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```http
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POST https://<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-02-29-preview
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POST https://<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-11-30
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Ocp-Apim-Subscription-Key: {<your-key>}
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```
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The following HTTP request starts the copy operation on the source resource. You need to enter the endpoint and key of your source resource as the url and header. Notice that the request URL contains the model ID of the source model you want to copy.
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```http
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POST https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-02-29-preview
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POST https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-11-30
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Ocp-Apim-Subscription-Key: {<your-key>}
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```
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You can also use the **[`Get model`](/rest/api/aiservices/document-models/get-model?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)** API to track the status of the operation by querying the target model. Call the API using the target model ID that you copied down from the [`Generate copy authorization` request](#generate-copy-authorization-request) response.
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```http
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GET https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}?api-version=2024-02-29-preview" -H "Ocp-Apim-Subscription-Key: <your-key>
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GET https://<your-resource-endpoint>/documentintelligence/documentModels/{modelId}?api-version=2024-11-30" -H "Ocp-Apim-Subscription-Key: <your-key>
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```
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In the response body, you see information about the model. Check the `"status"` field for the status of the model.
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**Request**
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```bash
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curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-02-29-preview"
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curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels:authorizeCopy?api-version=2024-11-30"
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-H "Content-Type: application/json"
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-H "Ocp-Apim-Subscription-Key: <YOUR-KEY>"
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--data-ascii "{
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**Request**
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```bash
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curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-02-29-preview"
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curl -i -X POST "<your-resource-endpoint>/documentintelligence/documentModels/{modelId}:copyTo?api-version=2024-11-30"
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-H "Content-Type: application/json"
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-H "Ocp-Apim-Subscription-Key: <YOUR-KEY>"
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--data-ascii "{
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The following HTTP request gets copy authorization from your target resource. You need to enter the endpoint and key of your target resource as headers.
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```http
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POST https://{TARGET_FORM_RECOGNIZER_RESOURCE_ENDPOINT}/formrecognizer/documentModels:authorizeCopy?api-version=2024-02-29-preview
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POST https://{TARGET_FORM_RECOGNIZER_RESOURCE_ENDPOINT}/formrecognizer/documentModels:authorizeCopy?api-version=2024-11-30
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/prebuilt/general-document.md
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manager: nitinme
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ms.service: azure-ai-document-intelligence
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ms.topic: conceptual
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ms.date: 11/19/2024
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ms.date: 02/27/2025
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ms.author: lajanuar
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:::moniker range="doc-intel-4.0.0"
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> [!IMPORTANT]
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> Starting with Document Intelligence versions **v4.0 preview versions** and going forward, the general document model (prebuilt-document) is deprecated. To extract key-value pairs, selection marks, text, tables, and structure from documents, use the following models:
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> For Document Intelligence versions **v4.0 preview versions** and going forward, the general document model (prebuilt-document) is deprecated. To extract key-value pairs, selection marks, text, tables, and structure from documents, use the following models:
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>
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>| Feature | version| Model ID |
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>|---------- |---------|--------|
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>|`Layout` model with the optional query string parameter **`features=keyValuePairs`** enabled.|• v4:2024-02-29-preview</br>• v3.1:2023-07-31 (GA) |**`prebuilt-layout`**|
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>|`Layout` model with the optional query string parameter **`features=keyValuePairs`** enabled.|• v4:2024-11-30</br>• v3.1:2023-07-31 (GA) |**`prebuilt-layout`**|
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/studio-overview.md
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ms.service: azure-ai-document-intelligence
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ms.topic: overview
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ms.date: 01/15/2025
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ms.date: 02/27/2025
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monikerRange: '>=doc-intel-3.0.0'
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### When to use [Azure AI Foundry portal](https://ai.azure.com/explore/aiservices/vision)
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Start with the new Azure AI Foundry and try any of the prebuilt document models from `2024-02-29-preview` version including general extraction models like Read or Layout.
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Start with the new Azure AI Foundry and try any of the prebuilt document models from `2024-11-30` version including general extraction models like Read or Layout.
Copy file name to clipboardExpand all lines: articles/ai-services/document-intelligence/train/composed-models.md
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ms.topic: conceptual
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> [!IMPORTANT]
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> The v4.0 2024-11-30 (GA) [`model compose`](#benefits-of-the-new-model-compose-operation) operation adds an explicitly trained classifier instead of an implicit classifier for analysis. For the previous composed model version, *see* Composed custom models v3.1. If you are currently using composed models consider upgrading to the latest implementation.
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> The v4.0 `2024-11-30` (GA) [`model compose`](#benefits-of-the-new-model-compose-operation) operation adds an explicitly trained classifier instead of an implicit classifier for analysis. For the previous composed model version, *see* Composed custom models v3.1. If you're currently using composed models, consider upgrading to the latest implementation.
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## What is a composed model?
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### Composed model compatibility
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|Custom model type|Models trained with v2.1 and v2.0 | Custom template and neural models v3.1 and v3.0 |Custom template and neural models v4.0 2024-11-30 (GA)|
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|Custom model type|Models trained with v2.1 and v2.0 | Custom template and neural models v3.1 and v3.0 |Custom template and neural models v4.0 `2024-11-30` (GA)|
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|--|--|--|--|
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|**Models trained with version 2.1 and v2.0**|Not Supported|Not Supported|Not Supported|
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|**Custom template and neural models v3.0 and v3.1**|Not Supported|Supported|Supported|
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