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文档Flink ML is a library which provides machine learning (ML) APIs and infrastructures that simplify the building of ML pipelines. Users can implement ML algorithms with the standard ML APIs and further use these infrastructures to build ML pipelines for both training and inference jobs.
Flink ML is developed under the umbrella of Apache Flink.
Getting Started
You can follow the Python quick start and the Java quick start to get hands-on experience with Flink ML Python and Java APIs respectively.
Building the Project
Run the mvn clean package command.
Then you will find a JAR file that contains your application, plus any libraries
that you may have added as dependencies to the application:
target/<artifact-id>-<version>.jar.
Benchmark
Flink ML provides functionalities to benchmark its machine learning algorithms. For detailed information, please check the Benchmark Getting Started.
Documentation
The documentation of Flink ML is located on the website: https://nightlies.apache.org/flink/flink-ml-docs-master/ or in the docs/ directory of the source code.
Contributing
You can learn more about how to contribute in the Apache Flink website. For code contributions, please read carefully the Contributing Code section for an overview of ongoing community work.
License
The code in this repository is licensed under the Apache Software License 2.
