[REPORT] MADlib - July 2020

["FENG, Xixuan (Aaron)" <xi...@gmail.com>]

## Description:

- Apache MADlib is a scalable, big data, SQL-driven machine learning
framework
  for data scientists.


## Issues:

- There are no issues requiring board attention at this time.


## Activity:

- Release 1.17.0 occurred on Apr 9, 2020 which was the 7th release as an
  Apache TLP project.

- Community is working on the 1.18.0 release with JIRAs related to deep
  learning and other ML methods:
* deep learning - improve GPU efficiency
* deep learning - support custom loss functions and custom metrics
* DBSCAN clustering algorithm
* add new solvers to multi-layer perceptron method

- Several new Jupyter notebook examples have been published to the community
  artifacts repo
  https://github.com/apache/madlib-site/tree/asf-site/community-artifacts


## Health report:

The community is relatively small but very engaged with robust mailing list
traffic, interest in doing frequent releases and new functionality being
developed by contributors.

The number of developers actively contributing to the code/documentation is
approximately 6 in the 2nd quarter of calendar year 2020.

We will constantly be on a lookout for new community members to be invited
either as committers or PMC.


## PMC changes:

- No changes in the last quarter.  Currently stands at 14 PMC members.


## Committer base changes:

- Currently 17 committers, no new committers since last report.

- The most recent committers added were: Ekta Khanna (2019-07-27) Himanshu
  Pandey (2019-07-27) Domino Valdano (2019-07-27)


## Releases:

- Next release: v1.18.0 planned for 2H 2020

- v1.17.0 released on 2020-04-09

- v1.16.0 released on 2019-07-08

- v1.15.1 released on 2018-10-15


## Mailing list activity:

Average monthly mailing list activity was 10 posts to dev@ and 4 posts to
user@ for the last 3 months Apr-Jun 2020.


## JIRA Statistics:

- 14 JIRA tickets created in the 3 months

- 2 JIRA tickets resolved in the 3 months