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These features and Azure Databricks platform improvements were released in December 2018.
Note
The release date and content listed below only corresponds to actual deployment of the Azure Public Cloud in most case.
It provide the evolution history of Azure Databricks service on Azure Public Cloud for your reference that may not be consistent with the actual deployment on Azure operated by 21Vianet.
Note
Releases are staged. Your Azure Databricks account may not be updated until up to a week after the initial release date.
Databricks Runtime 5.1 for Machine Learning (Beta) release
Dec 18, 2018
Databricks Runtime 5.1 ML is built on top of Databricks Runtime 5.1 and includes the following new features:
- PyTorch for building deep learning networks.
Databricks Runtime 5.1 release
December 18, 2018
Databricks Runtime 5.1 is now available. Databricks Runtime 5.1 includes Apache Spark 2.4.0, new Delta Lake and Structured Streaming features and upgrades, and upgraded Python, R, and Java and Scala libraries.
Library UI
The library UI update originally released in version 2.85 was reverted on December 7, 2018.