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Merge pull request #101291 from diberry/diberry/0115-per-qs
[Cogsvcs] Personalizer - pivot lang/quickstart
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.openpublishing.redirection.json

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"redirect_url": "/azure/azure-monitor/platform/data-collector-api",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/personalizer/python-quickstart-commandline-feedback-loop-sdk.md",
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"redirect_url": "/azure/cognitive-services/personalizer/sdk-learning-loop?pivots=programming-language-python",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/personalizer/quickstart-command-line-feedback-loop-nodejs-sdk.md",
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"redirect_url": "/azure/cognitive-services/personalizer/sdk-learning-loop?pivots=programming-language-nodejs",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/personalizer/csharp-quickstart-commandline-feedback-loop.md",
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"redirect_url": "/azure/cognitive-services/personalizer/sdk-learning-loop?pivots=programming-language-csharp",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/personalizer/personalizer-container-configuration.md",
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"redirect_url": "/azure/cognitive-services/personalizer/what-is-personalizer",

articles/cognitive-services/personalizer/csharp-quickstart-commandline-feedback-loop.md

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---
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title: include file
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description: include file
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services: cognitive-services
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author: diberry
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manager: nitinme
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ms.service: cognitive-services
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ms.subservice: personalizer
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ms.topic: include
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ms.custom: include file
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ms.date: 01/15/2020
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ms.author: diberry
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---
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## Change the model update frequency
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In the Azure portal, in the Personalizer resource on the **Configuration** page, change the **Model update frequency** to 10 seconds. This short duration will train the service rapidly, allowing you to see how the top action changes for each iteration.
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![Change model update frequency](../media/settings/configure-model-update-frequency-settings.png)
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When a Personalizer loop is first instantiated, there is no model since there has been no Reward API calls to train from. Rank calls will return equal probabilities for each item. Your application should still always rank content using the output of RewardActionId.
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---
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title: include file
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description: include file
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services: cognitive-services
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author: diberry
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manager: nitinme
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ms.service: cognitive-services
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ms.subservice: personalizer
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ms.topic: include
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ms.custom: include file
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ms.date: 01/15/2020
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ms.author: diberry
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---
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## Create a Personalizer Azure resource
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Create a resource for Personalizer using the [Azure portal](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account) or [Azure CLI](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account-cli) on your local machine. You can also:
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* Get a [trial key](https://azure.microsoft.com/try/cognitive-services) valid for 7 days for free. After signing up, it will be available on the [Azure website](https://azure.microsoft.com/try/cognitive-services/my-apis/).
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* View your resource on the [Azure portal](https://portal.azure.com/).
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After you get a key from your trial subscription or resource, create two [environment variable](https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account#configure-an-environment-variable-for-authentication):
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* `PERSONALIZER_RESOURCE_KEY` for the resource key.
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* `PERSONALIZER_RESOURCE_ENDPOINT` for the resource endpoint.
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In the Azure portal, both the key and endpoint values are available from the **quickstart** page.

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