Apache Hivemall
is a scalable machine learning library that runs on Apache Hive, Apache
Spark, and Apache Pig. Hivemall is designed to be scalable to the
number of training instances as well as the number of training features.
If you are planning to contribute to this repository, we first request you to create an issue at our JIRA page even if the topic is not related to source code itself (e.g., documentation, new idea and proposal).
All Hivemall functions are defined under resources/ddl. In order to update the definition files, the following script helps inserting function name and class path of your new UDF:
$ ./bin/update_ddls.sh
Moreover, don't forget to update function list in the document as well:
$ ./bin/update_func_md.sh
Note that, before creating a pull request including Java code, please
make sure your code follows our coding conventions by applying
formatter: