Awesome report! I've signed off! And now I can review your RC ;-) Thanks, Roman.
On Wed, Apr 6, 2016 at 5:18 PM, Frank McQuillan <[email protected]> wrote: > Below if the MADlib quarterly report sent to be sent to the IPMC. Please > let us know if you have any additions, subtractions or comments. > > ----------------- > > MADlib > > Big Data Machine Learning in SQL for Data Scientists. > > MADlib has been incubating since 2015-09-15. > > Three most important issues to address in the move towards graduation: > > 1. Continue to produce regular Apache (incubating) releases. > 2. Expand the community, increase dev list activity and add new > contributors. > 3. Execute and manage the project according to governance model required > by the "Apache Way”. > > Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware > of? > > None > > How has the community developed since the last report? > > 1. Held three community calls in Q1 2016. Each call featured a different > member of the Apache MADlib community presenting on a topic of interest to > them: > * Jan 15th - Bayesian Analysis of Binomial Response Models on MPP Databases > (Gautam Muralidhar) > * Feb 16th - An Overview of GWR Analysis of Spatial Data (Chenliang Wang) > * Mar 16th - MADlib on PostgreSQL and PGXN (AJ Welch) > 2. One new committer has been added to the project (Xiaocheng Tang) > 3. Presentation of Apache MADlib at FOSDEM’16 in Brussels (Frank > McQuillan) > 4. Material technical conversations on dev mailing lists and in the > appropriate JIRAs (e.g., 111 emails on dev@ mailing list in Feb) > 5. Several Google Summer of Code (GSoC) candidates have expressed > interest in working on MADlib projects via dev@ mailing list. > > How has the project developed since the last report? > > 1. 1st ASF release MADlib v1.9alpha on 3/11/16 which was intended to > clear all potential IP issues in the code base and make it legally ready to > be adopted by the community. > 2. 2nd ASF release MADlib v1.9 is currently in IPMC voting as of this > writing on 4/6/16. The goal of this 2nd release is general availability of > MADlib v1.9 for community use. > 3. Some features in the latest release: path functions, support vector > machines, advanced matrix operations, covariance matrix, proportion of > variance for PCA, support for Apache HAWQ (incubating) 2.0. > 4. 15 JIRAs created and 27 resolved in last 30 days. > > Date of last release: > > MADlib v1.9alpha on 3/11/16. > > When were the last committers or PMC members elected? > > Xiaocheng Tang on 1/14/16.
