Updates Archives
Monthly updates for May 2019
Events up to 1MB in Event Grid - public preview
Public preview of support for larger events, now up to 1MB.
New features for Azure Machine Learning are now available
Features include: Model Interpretability - Machine learning interpretability allows data scientists to explain machine learning models globally on all data, or locally on a specific data point using the state-of-art technologies in an easy-to-use and scalable fashion. Machine Learning interpretability incorporates technologies developed by Microsoft and proven third-party libraries (for example, SHAP and LIME).
New features for Azure Machine Learning are now in preview
Features include: Open Datasets - Open Datasets are a collection of datasets from the public domain to accelerate the development of machine learning models built in Azure. Open Datasets integrates with Machine Leaning Studio or can be accessed from python notebooks in Azure Machine Learning Service.
Self-serve experience with Event Hubs Preview
Azure Event Hubs clusters can now be directly created through the Azure Portal as a self-serve experience.
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