Mirror of Apache Hivemall (incubating)

Clone this repo:
  1. 59ffcca Revised bagging doc entry by Makoto Yui · 5 months ago master
  2. dc2cc9d Trivial doc fix by Makoto Yui · 5 months ago
  3. 8a63e23 Added user guide entry for bagging classifiers by Makoto Yui · 5 months ago
  4. dceff6b [HIVEMALL-297] Fixed null element handling in feature vector by Makoto Yui · 6 months ago
  5. e86815a [HIVEMALL-296][BUGFIX] Fixed corner case NPE bug when count is zero by Makoto Yui · 6 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