The Apache Flink community is excited to announce the release of Flink ML 2.1.0!
This release focuses on improving Flink ML's infrastructure, such as Python SDK, memory management, and benchmark framework, to facilitate the development of performant, memory-safe, and easy-to-use algorithm libraries. We validated the enhanced infrastructure via benchmarks and confirmed that Flink ML can meet or exceed the performance of selected algorithms from alternative popular ML libraries. In addition, this release added example Python and Java programs to help users learn and use Flink ML. Please check out the release blog post for an overview of the release: https://flink.apache.org/news/2022/07/12/release-ml-2.1.0.html The release is available for download at: https://flink.apache.org/downloads.html Maven artifacts for Flink ML can be found at: https://search.maven.org/search?q=g:org.apache.flink%20ml Python SDK for Flink ML published to the PyPI index can be found at: https://pypi.org/project/apache-flink-ml/ The full release notes are available in Jira: https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12351141 We would like to thank all contributors of the Apache Flink community who made this release possible! Regards, Yun and Zhipeng
