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.
{{< columns >}}
If you’re interested in playing around with Flink ML, check out our [quick start]({{< ref “docs/try-flink-ml/java/quick-start” >}}). It provides a simple example to submit and execute a Flink ML job on a Flink cluster.
<--->
If you get stuck, check out our community support resources. In particular, Apache Flink’s user mailing list is consistently ranked as one of the most active of any Apache project, and is a great way to get help quickly.
{{< /columns >}}
Flink ML is developed under the umbrella of Apache Flink.