Mirror of Apache Hivemall (incubating)

Clone this repo:
  1. b65949a [HIVEMALL-316] Improve error message for duplicate entries error in Tokenizer user dictionary by Makoto Yui · 4 weeks ago master
  2. 6b31a1d [HIVEMALL-314] fixed Spark DDLs by Makoto Yui · 3 months ago
  3. 58b4221 Fixed links by Makoto Yui · 3 months ago
  4. 141862c [HIVEMALL-307][DOC] Update tokenize_ko examples by Makoto Yui · 3 months ago
  5. f9919ef [HIVEMALL-312] Changed default constructor accessor to public for Spark by Makoto Yui · 3 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.

Usage

Hivemall

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

Support

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

Contributing

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