Mirror of Apache Hivemall (incubating)

Clone this repo:
  1. 3407977 Merge pull request #250 from CalvinKirs/patch-1 by Gav · 1 year, 11 months ago master
  2. 700a522 Create RETIRED.txt by Kirs · 1 year, 11 months ago
  3. e50f24c [HIVEMALL-317] Update documentation about Amazon EMR by boomkim · 2 years, 8 months ago
  4. b65949a [HIVEMALL-316] Improve error message for duplicate entries error in Tokenizer user dictionary by Makoto Yui · 3 years, 1 month ago
  5. 6b31a1d [HIVEMALL-314] fixed Spark DDLs by Makoto Yui · 3 years, 2 months ago

Apache Hivemall: Hive scalable machine learning library

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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.



Find more examples on our user guide and find a brief introduction to Hivemall in this slide.


Support is through user@hivemall.incubator.apache.org, not by a direct e-mail.


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:

$ ./bin/format_code.sh