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articles/machine-learning/how-to-deploy-model-cognitive-search.md

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@@ -28,8 +28,6 @@ Azure Machine Learning can deploy a trained model as a web service. The web serv
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> The information in this article is specific to the deployment of the model. It provides information on the supported deployment configurations that allow the model to be used by Cognitive Search.
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> For information on how to configure Cognitive Search to use the deployed model, see the [Build and deploy a custom skill with Azure Machine Learning](../search/cognitive-search-tutorial-aml-custom-skill.md) tutorial.
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> For the sample that the tutorial is based on, see [https://github.com/Azure-Samples/azure-search-python-samples/tree/master/AzureML-Custom-Skill](https://github.com/Azure-Samples/azure-search-python-samples/tree/master/AzureML-Custom-Skill).
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When deploying a model for use with Azure Cognitive Search, the deployment must meet the following requirements:
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* A Python development environment with the Azure Machine Learning SDK installed. For more information, see [Azure Machine Learning SDK](/python/api/overview/azure/ml/install).
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* A registered model. If you do not have a model, use the example notebook at [https://github.com/Azure-Samples/azure-search-python-samples/tree/master/AzureML-Custom-Skill](https://github.com/Azure-Samples/azure-search-python-samples/tree/master/AzureML-Custom-Skill).
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* A registered model.
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* A general understanding of [How and where to deploy models](v1/how-to-deploy-and-where.md).
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