Skip to main content

Microsoft Azure Machine Learning Services Management Client Library for Python

Project description

Microsoft Azure SDK for Python

This is the Microsoft Azure Machine Learning Services Management Client Library.

Azure Resource Manager (ARM) is the next generation of management APIs that replace the old Azure Service Management (ASM).

This package has been tested with Python 2.7, 3.5, 3.6 and 3.7.

For the older Azure Service Management (ASM) libraries, see azure-servicemanagement-legacy library.

For a more complete set of Azure libraries, see the azure sdk python release.

Usage

To learn how to use this package, see the quickstart guide

For docs and references, see Python SDK References Code samples for this package can be found at Machine Learning Services Management on docs.microsoft.com. Additional code samples for different Azure services are available at Samples Repo

Provide Feedback

If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.

image

Release History

1.0.0 (2020-12-21)

Breaking changes

  • Operation MachineLearningComputeOperations.begin_update has a new signature
  • Operation PrivateEndpointConnectionsOperations.put has a new signature
  • Operation QuotasOperations.update has a new signature
  • Operation PrivateEndpointConnectionsOperations.put has a new signature

1.0.0b1 (2020-10-31)

This is beta preview version. For detailed changelog please refer to equivalent stable version 0.1.0 (https://pypi.org/project/azure-mgmt-machinelearningservices/0.1.0/)

This version uses a next-generation code generator that introduces important breaking changes, but also important new features (like unified authentication and async programming).

General breaking changes

  • Credential system has been completly revamped:

    • azure.common.credentials or msrestazure.azure_active_directory instances are no longer supported, use the azure-identity classes instead: https://pypi.org/project/azure-identity/
    • credentials parameter has been renamed credential
  • The config attribute no longer exists on a client, configuration should be passed as kwarg. Example: MyClient(credential, subscription_id, enable_logging=True). For a complete set of supported options, see the parameters accept in init documentation of azure-core

  • You can't import a version module anymore, use __version__ instead

  • Operations that used to return a msrest.polling.LROPoller now returns a azure.core.polling.LROPoller and are prefixed with begin_.

  • Exceptions tree have been simplified and most exceptions are now azure.core.exceptions.HttpResponseError (CloudError has been removed).

  • Most of the operation kwarg have changed. Some of the most noticeable:

General new features

  • Type annotations support using typing. SDKs are mypy ready.
  • This client has now stable and official support for async. Check the aio namespace of your package to find the async client.
  • This client now support natively tracing library like OpenCensus or OpenTelemetry. See this tracing quickstart for an overview.

0.1.0 (2019-06-27)

  • Initial Release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

azure-mgmt-machinelearningservices-1.0.0.zip (128.2 kB view hashes)

Uploaded Source

Built Distribution

azure_mgmt_machinelearningservices-1.0.0-py2.py3-none-any.whl (116.9 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page