Azure Resource Manager MachineLearningServices client library for Java - version 1.0.0-beta.1

Azure Resource Manager MachineLearningServices client library for Java.

This package contains Microsoft Azure SDK for MachineLearningServices Management SDK. These APIs allow end users to operate on Azure Machine Learning Workspace resources. Package tag package-2021-04-01. For documentation on how to use this package, please see Azure Management Libraries for Java.

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Documentation

Various documentation is available to help you get started

• API reference documentation

Getting started

Prerequisites

• Java Development Kit (JDK) with version 8 or above
• Azure Subscription

Adding the package to your product

<dependency>
    <groupId>com.azure.resourcemanager</groupId>
    <artifactId>azure-resourcemanager-machinelearningservices</artifactId>
    <version>1.0.0-beta.1</version>
</dependency>

Include the recommended packages

Azure Management Libraries require a TokenCredential implementation for authentication and an HttpClient implementation for HTTP client.

Azure Identity package and Azure Core Netty HTTP package provide the default implementation.

Authentication

By default, Azure Active Directory token authentication depends on correct configure of following environment variables.

• AZURE_CLIENT_ID for Azure client ID.
• AZURE_TENANT_ID for Azure tenant ID.
• AZURE_CLIENT_SECRET or AZURE_CLIENT_CERTIFICATE_PATH for client secret or client certificate.

In addition, Azure subscription ID can be configured via environment variable AZURE_SUBSCRIPTION_ID.

With above configuration, azure client can be authenticated by following code:

AzureProfile profile = new AzureProfile(AzureEnvironment.AZURE);
TokenCredential credential = new DefaultAzureCredentialBuilder()
    .authorityHost(profile.getEnvironment().getActiveDirectoryEndpoint())
    .build();
MachineLearningServicesManager manager = MachineLearningServicesManager
    .authenticate(credential, profile);

The sample code assumes global Azure. Please change AzureEnvironment.AZURE variable if otherwise.

See Authentication for more options.

Key concepts

See API design for general introduction on design and key concepts on Azure Management Libraries.

Examples

Troubleshooting

Next steps

Contributing

For details on contributing to this repository, see the contributing guide.

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request