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From "FENG, Xixuan (Aaron)" <>
Subject [REPORT] MADlib - April 2019
Date Thu, 11 Apr 2019 03:38:25 GMT
## 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:

- Last release was 1.15.1 which was the 5th release as an Apache TLP
This was a minor release that included support for Ubuntu 16.04 as well
as various feature improvements.

- Community is at work on the 1.16 release.  Key features are PostgreSQL 11
a new method for k-NN nearest neighbors, and an early stage implementation
of deep learning.

- After that will be the 2.0 release with JIRAs related to versioning

— Frank McQuillan (MADlib committer and PMC member) presented
at FOSDEM’19 on 2019-Feb-03 on deep learning on parallel databases,
using MADlib and Greenplum Database as an example.

- Frank McQuillan also presented at PostgresConf 2019
March 18-22, New York on AI from model perspective

## 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 12 in the 1st quarter of calendar year 2019.

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

## PMC changes:

- Added Jingyi Mei ( and Nikhil Kak (
as new PMC members on 2019-Feb-20

- Jim Jagielski asked to be removed from the PMC

- Currently stands at 14 PMC members.

## Committer base changes:

- Currently 14 committers.

- Last committer additions were Jingyi Mei on 2018-06-14 and Nikhil Kak on

## Releases:

- Next release: v1.16 planned for 1H2019

- v1.15.1 released on 2018-10-15

- v1.15.0 released on 2018-08-10

- v1.14.0 released on 2018-05-01

## Mailing list activity:

Average monthly mailing list activity was 243 posts to dev@
and 6 posts to user@ for the last 3 months Jan-Mar.

## JIRA Statistics:

- 16 JIRA tickets created in the last month

- 3 JIRA tickets resolved in the last month

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