2018 年 12 月December 2018

这些功能和 Azure Databricks 平台改进已于 2018 年 12 月发布。These features and Azure Databricks platform improvements were released in December 2018.

备注

发布分阶段进行。Releases are staged. 在初始发布日期后,可能最长需要等待一周,你的 Azure Databricks 帐户才会更新。Your Azure Databricks account may not be updated until up to a week after the initial release date.

现已发布用于机器学习的 Databricks Runtime 5.1 (Beta)Databricks Runtime 5.1 for Machine Learning (Beta) release

2018 年 12 月 18 日Dec 18, 2018

Databricks Runtime 5.1 ML 是基于 Databricks Runtime 5.1 构建的。Databricks Runtime 5.1 ML is built on top of Databricks Runtime 5.1. 若要了解 Databricks Runtime 5.1 中的新增功能,请参阅 Databricks Runtime 5.1(不受支持)发行说明。For information on what’s new in Databricks Runtime 5.1, see the Databricks Runtime 5.1 (Unsupported) release notes. Databricks Runtime 5.0 ML(beta 版本)中对现有库的更新外,Databricks Runtime 5.1 ML 还包含以下新功能:In addition to the updates to existing libraries in Databricks Runtime 5.0 ML (Beta), Databricks Runtime 5.1 ML includes the following new features:

  • 用于构建深度学习网络的 PyTorchPyTorch for building deep learning networks.

请参阅 Databricks Runtime 5.1 ML(beta 版本)的完整发行说明。See the complete release notes for Databricks Runtime 5.1 ML (Beta).

现已发布 Databricks Runtime 5.1Databricks Runtime 5.1 release

2018 年 12 月 18 日December 18, 2018

Databricks Runtime 5.1 现已推出。Databricks Runtime 5.1 is now available. Databricks Runtime 5.1 包括 Apache Spark 2.4.0、新增的 Delta Lake 和结构化流功能与升级,以及升级的 Python、R、Java 和 Scala 库。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. 有关详细信息,请参阅 Databricks Runtime 5.1(不受支持)For details, see Databricks Runtime 5.1 (Unsupported).

库 UILibrary UI

在 2018 年 12 月 7 日,还原了最初在 2.85 版中发布的库 UI 更新The library UI update originally released in version 2.85 was reverted on December 7, 2018.