I was able to successfully upgrade from madlib 1.12 to madlib 1.14 on gpdb 5.7 centos 6.
I also ran install check after the upgrade and everything passed. My vote: +1 The link to all the `.asc` files in the email you sent is broken. I think > the word 'SHA512' from the next line is getting included in the URL from > the previous line for some reason. All the links worked fine for me except the one mentioned by Rashmi. Thanks, Nikhil Kak On Fri, Apr 27, 2018 at 4:23 PM Nandish Jayaram <njaya...@pivotal.io> wrote: > Thank you for being the release manager Jingyi. I used the rpm to upgrade > from MADlib 1.13 to 1.14 on Greenplum 5. Works great! > +1 (binding) > > One issue, that does not affect my vote: > - The link to all the `.asc` files in the email you sent is broken. I > think the word 'SHA512' from the next line is getting included in the URL > from the previous line for some reason. > > NJ > > On Fri, Apr 27, 2018 at 3:19 PM, Rashmi Raghu <rra...@pivotal.io> wrote: > >> Installed on Postgres 9.6 on MacOS using dmg. >> Checked out the new additions to the summary function. Looks good. My >> vote: +1 (binding). >> >> Some comments aside from the vote: >> >> - I followed this link in the email: https://cwiki.apache. >> org/confluence/display/MADLIB/MADlib+1.14 >> <https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.14> and >> then from there clicked on https://dist.apache.org/ >> repos/dist/release/madlib/1.14/ >> <https://dist.apache.org/repos/dist/release/madlib/1.14/> which gives >> a page-not-found error. >> - I didn't see a link to documentation associated with this release - >> it would be useful to have that also available (let me know if it was in >> the email and I missed it or if it is not standard practice). For >> instance, >> I wanted to briefly look at the new balanced datasets module and it would >> have been easy to look it up in the web version of the docs. I did find >> the >> docs through the function call e.g. madlib.balance_sample('usage') but >> that >> requires knowing roughly what function name to look for (not hard in this >> case but I can imagine other situations where it might not be >> straightforward) >> >> Great to see all the new features and bug fixes! >> >> Thanks, >> Rashmi >> >> >> On Fri, Apr 27, 2018 at 1:40 PM, Orhan Kislal <okis...@pivotal.io> wrote: >> >>> Tested on PG 10.3 (src and dmg). Looks good. +1 (binding) >>> >>> Thanks for preparing the release Jingyi, >>> >>> Orhan Kislal >>> >>> On Fri, Apr 27, 2018 at 11:44 AM, Frank McQuillan <fmcquil...@pivotal.io >>> > wrote: >>> >>>> Hi Jingyi, >>>> >>>> Thanks for posting the artifacts and sending out the vote. >>>> >>>> My findings: >>>> >>>> Installation and IC passed on postgres 9.6.7 >>>> >>>> Also I tested a cpl of the new features (personalized page rank and >>>> mini-batch preprocessor) >>>> and they worked OK for me with a small sample data set. >>>> >>>> +1 (binding) >>>> >>>> On Thu, Apr 26, 2018 at 2:57 PM, Jingyi Mei <j...@pivotal.io> wrote: >>>> >>>> > Hello Apache MADlib dev community, >>>> > >>>> > This is the vote for Apache MADlib 1.14 Release (RC1). It provides the >>>> > source release tarball and convenience binaries. This is the third >>>> > Apache MADlib release as an Apache Top Level Project (TLP). >>>> > >>>> > The vote will run for at least 72 working hours and will close on >>>> > Tuesday, May 1st, 2018 @ 6pm PDT. A minimum of 3 binding +1 votes and >>>> > more binding +1 than binding -1 are required to pass. >>>> > >>>> > The main goals of this release are: >>>> > >>>> > New features: >>>> > >>>> > - New module - Balanced datasets: A sampling module to balance >>>> > classification >>>> > datasets by resampling using various techniques including >>>> > undersampling, >>>> > oversampling, uniform sampling or user-defined proportion sampling >>>> > (MADLIB-1168) >>>> > - Mini-batch: Added a mini-batch optimizer for MLP and a >>>> preprocessor >>>> > function >>>> > necessary to create batches from the data (MADLIB-1200, >>>> MADLIB-1206, >>>> > MADLIB-1220, MADLIB-1224, MADLIB-1226, MADLIB-1227) >>>> > - k-NN: Added weighted averaging/voting by distance (MADLIB-1181) >>>> > - Summary: Added additional stats: number of positive, negative, >>>> zero >>>> > values and >>>> > 95% confidence intervals for the mean (MADLIB-1167) >>>> > - Encode categorical: Updated to produce lower-case column names >>>> when >>>> > possible >>>> > (MADLIB-1202) >>>> > - MLP: Added support for already one-hot encoded categorical >>>> dependent >>>> > variable >>>> > in a classification task (MADLIB-1222) >>>> > - Pagerank: Added option for personalized vertices that allows >>>> higher >>>> > weightage >>>> > for a subset of vertices which will have a higher jump probability >>>> as >>>> > compared to other vertices and a random surfer is more likely to >>>> > jump to these personalization vertices (MADLIB-1084) >>>> > >>>> > Bug fixes: >>>> > >>>> > - Fixed issue with invalid calls of construct_array that led to >>>> > problems >>>> > in Postgresql 10 (MADLIB-1185) >>>> > - Added newline between file concatenation during PGXN install >>>> > (MADLIB-1194) >>>> > - Fixed upgrade issues in knn (MADLIB-1197) >>>> > - Added fix to ensure RF variable importance are always >>>> non-negative >>>> > - Fixed inconsistency in LDA output and improved usability >>>> > (MADLIB-1160, MADLIB-1201) >>>> > - Fixed MLP and RF predict for models trained in earlier versions >>>> to >>>> > ensure missing optional parameters are given appropriate default >>>> values >>>> > (MADLIB-1207) >>>> > - Fixed a scenario in DT where no features exist due categorical >>>> > columns with single level being dropped led to the database >>>> crashing >>>> > - Fixed step size initialization in MLP based on learning rate >>>> policy >>>> > (MADLIB-1212) >>>> > - Fixed PCA issue that leads to failure when grouping column is a >>>> TEXT >>>> > type (MADLIB-1215) >>>> > - Fixed cat levels output in DT when grouping is enabled >>>> (MADLIB-1218) >>>> > - Fixed and simplified initialization of model coefficients in MLP >>>> > - Removed source table dependency for predicting regression models >>>> in >>>> > MLP (MADLIB-1223) >>>> > - Print loss of first iteration in MLP (MADLIB-1228) >>>> > - Fixed MLP failure on GPDB 4.3 when verbose=True (MADLIB-1209) >>>> > - Fixed RF issue that showed up when var_importance=True with no >>>> > continuous features (MADLIB-1219) >>>> > - Fixed DT/RF issue for null_as_category=True and grouping enabled >>>> > (MADLIB-1217) >>>> > >>>> > Other: >>>> > >>>> > - Reduced install-check runtime for PCA, DT, RF, elastic net >>>> > (MADLIB-1216) >>>> > - Added CentOS 7 PostgreSQL 9.6/10 docker files >>>> > >>>> > For additional information, please see: >>>> > https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.14 >>>> > >>>> > Here are the release artifact details: >>>> > >>>> > Source release tag to be voted on: rc/1.14-rc1, located here: >>>> > https://git-wip-us.apache.org/repos/asf?p=madlib.git;a=tag; >>>> > h=refs/tags/rc/1.14-rc1 >>>> > >>>> > Source release tarball can be retrieved from the following locations: >>>> > >>>> > Package: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-src.tar.gz >>>> > PGP Signature: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-src.tar.gz.asc >>>> > SHA512 Hash: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-src.tar.gz.sha512 >>>> > >>>> > Convenience binary packages can be retrieved from the following >>>> > locations: >>>> > >>>> > macOS: 10.* PostgreSQL 9.6 & 10.2 >>>> > >>>> > Package: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Darwin.dmg >>>> > PGP Signature: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Darwin.dmg.asc >>>> > SHA512 Hash: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Darwin.dmg.sha512 >>>> > >>>> > CentOS* GPDB 4.3.5+ >>>> > >>>> > Package: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Linux-GPDB43.rpm >>>> > PGP Signature: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Linux-GPDB43.rpm.asc >>>> > SHA512 Hash: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Linux-GPDB43.rpm.sha512 >>>> > >>>> > CentOS 6 &* GPDB 5.3.0, PostgreSQL 9.6 & 10.2 >>>> > >>>> > Package: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Linux.rpm >>>> > PGP Signature: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Linux.rpm.asc >>>> > SHA512 Hash: >>>> > https://dist.apache.org/repos/dist/dev/madlib/1.14-RC1/ >>>> > apache-madlib-1.14-bin-Linux.rpm.sha512 >>>> > >>>> > The PGP KEYS file used to validate the signature of the release >>>> artifacts >>>> > is available here: >>>> > https://dist.apache.org/repos/dist/dev/madlib/KEYS >>>> > >>>> > To help in tallying the vote, PMC members please be sure to indicate >>>> > “(binding)” with the vote. >>>> > >>>> > [ ] +1 approve >>>> > [ ] +0 no opinion >>>> > [ ] -1 disapprove (and reason why) >>>> > >>>> > Regards, >>>> > Jingyi Mei >>>> > >>>> > Pivotal R&D Advanced Analytics >>>> > >>>> > >>>> >>> >>> >> >> >> -- >> Rashmi Raghu, Ph.D. >> Pivotal Data Science >> > >
