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# AzureMachineLearningWorkspaces client library for JavaScript
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# Azure Machine Learning client library for JavaScript
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This package contains an isomorphic SDK (runs both in Node.js and in browsers) for AzureMachineLearningWorkspaces client.
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This package contains an isomorphic SDK (runs both in Node.js and in browsers) for Azure Machine Learning client.
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These APIs allow end users to operate on Azure Machine Learning Workspace resources.
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### Install the `@azure/arm-machinelearning` package
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Install the AzureMachineLearningWorkspaces client library for JavaScript with `npm`:
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Install the Azure Machine Learning client library for JavaScript with `npm`:
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```bash
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npm install @azure/arm-machinelearning
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```
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### Create and authenticate a `AzureMachineLearningWorkspaces`
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### Create and authenticate a `AzureMachineLearningServices`
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To create a client object to access the AzureMachineLearningWorkspaces API, you will need the `endpoint` of your AzureMachineLearningWorkspaces resource and a `credential`. The AzureMachineLearningWorkspaces client can use Azure Active Directory credentials to authenticate.
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You can find the endpoint for your AzureMachineLearningWorkspaces resource in the [Azure Portal][azure_portal].
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To create a client object to access the Azure Machine Learning API, you will need the `endpoint` of your Azure Machine Learning resource and a `credential`. The Azure Machine Learning client can use Azure Active Directory credentials to authenticate.
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You can find the endpoint for your Azure Machine Learning resource in the [Azure Portal][azure_portal].
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You can authenticate with Azure Active Directory using a credential from the [@azure/identity][azure_identity] library or [an existing AAD Token](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/identity/identity/samples/AzureIdentityExamples.md#authenticating-with-a-pre-fetched-access-token).
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npm install @azure/identity
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```
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You will also need to **register a new AAD application and grant access to AzureMachineLearningWorkspaces** by assigning the suitable role to your service principal (note: roles such as `"Owner"` will not grant the necessary permissions).
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You will also need to **register a new AAD application and grant access to Azure Machine Learning** by assigning the suitable role to your service principal (note: roles such as `"Owner"` will not grant the necessary permissions).
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Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: `AZURE_CLIENT_ID`, `AZURE_TENANT_ID`, `AZURE_CLIENT_SECRET`.
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For more information about how to create an Azure AD Application check out [this guide](https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal).
// For client-side applications running in the browser, use InteractiveBrowserCredential instead of DefaultAzureCredential. See https://aka.ms/azsdk/js/identity/examples for more details.
// For client-side applications running in the browser, use this code instead:
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// const credential = new InteractiveBrowserCredential({
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// tenantId: "<YOUR_TENANT_ID>",
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// clientId: "<YOUR_CLIENT_ID>"
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// });
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// const client = new AzureMachineLearningWorkspaces(credential, subscriptionId);
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// const client = new AzureMachineLearningServices(credential, subscriptionId);
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```
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## Key concepts
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### AzureMachineLearningWorkspaces
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### AzureMachineLearningServices
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`AzureMachineLearningWorkspaces` is the primary interface for developers using the AzureMachineLearningWorkspaces client library. Explore the methods on this client object to understand the different features of the AzureMachineLearningWorkspaces service that you can access.
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`AzureMachineLearningServices` is the primary interface for developers using the Azure Machine Learning client library. Explore the methods on this client object to understand the different features of the Azure Machine Learning service that you can access.
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