Thanks Nikhil. +1 approve (binding)
Tested OSX dmg on macOS Catalina (10.15.7) with Postgres 11.11 and 12.6 - passes install-check, dev-check and unit-test LGTM! Thanks, Ekta On 2021/04/01 00:38:08, Nikhil Kak <n...@vmware.com> wrote: > Hello Apache MADlib community, > > This is the vote for Apache MADlib 1.18.0 Release (RC1). It provides the > source release tarball and convenience binaries. > > The vote will run for at least 72 hours and will close on Monday, April 5th, > 2021 @ 00:39 UTC ( 17:39 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 > - DL: setup methods for grid search and random search (MADLIB-1439) > - DL: Add support for custom loss functions (MADLIB-1441) > - DL: Hyperband phase 1 - print run schedule (MADLIB-1445) > - DL: Hyperband phase 2 - generate MST table (MADLIB-1446) > - DL: Hyperband phase 3 - logic for diagonal runs (MADLIB-1447) > - DL: Hyperband phase 4 - implement full logic with default params > (MADLIB-1448) > - DL: Hyperband phase 5 - implement full logic with optional params > (MADLIB-1449) > - AutoML: add Hyperopt for deep learning (MADLIB-1453) > - DL: Add Multiple input/output support to load, fit, and evaluate > (MADLIB-1457) > - DL: Add multiple input/output support on advanced features (MADLIB-1458) > - DL: add caching param to autoML interface (MADLIB-1461) > - DL: Add support for TensorBoard (MADLIB-1474) > - DBSCAN clustering algo - phase 1 (MADLIB-1017) > > Improvements: > - DL: cache data to speed training (MADLIB-1427) > - DL: reduce GPU idle time between hops (MADLIB-1428) > - DL: utility to load and delete custom Python functions (MADLIB-1429) > - DL: support custom loss functions (MADLIB-1432) > - DL: support custom metrics (MADLIB-1433) > - DL: Fit multiple does not print timing for validation evaluate > (MADLIB-1462) > - DL: Fix gpu_memory_fraction for distribution_policy != 'all_segments' > (MADLIB-1463) > - DL: add object table info in load MST table utility function > (MADLIB-1430) > - DL: improve speed of evaluate for multiple model training (MADLIB-1431) > - DL: improve existing grid search method (MADLIB-1440) > - DL: Remove dependency on keras (MADLIB-1450) > - DL: Improve output of predict (MADLIB-1451) > - DL: Add top n to evalute() (MADLIB-1452) > - DL - Write best so far to console for autoML methods (MADLIB-1454) > - Do not try to drop output tables (MADLIB-1442) > - Prevent an "integer out of range" exception in linear regression train > (MADLIB-1460) > > Bug fixes: > - DL: Fix fit_multiple when output_table or mst_table is passed as NULL > (MADLIB-1464) > - DL: Iris predict accuracy has regressed (MADLIB-1465) > - DL: madlib_keras_fit_multiple_model goes down with an IndexError: tuple > index out of range (MADLIB-1467) > - DL: Crash in fit_multiple when any model reaches loss=nan (MADLIB-1443) > - DL: BYOM fails at get_num_classes (MADLIB-1472) > - DL: Hyperband cumulative output time is not correct (MADLIB-1456) > - check bigint support for all graph methods (MADLIB-1444) > - MLP: weights param not working (MADLIB-1471) > > Other: > - Create build trigger jobs on cloudbees (MADLIB-1466) > > 1.18.0 docs available here: > https://madlib.apache.org/docs/rc/index.html > > For additional information, please see: > https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.18.0 > > Here are the release artifact details: > > Source release tag to be voted on: rc/1.18.0-rc1, located here: > https://git-wip-us.apache.org/repos/asf?p=madlib.git;a=tag;h=refs/tags/rc/1.18.0-rc1 > > Source release tarball can be retrieved from the following locations: > Package: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-src.tar.gz > PGP Signature: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-src.tar.gz.asc > SHA512 Hash: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-src.tar.gz.sha512 > > Convenience binary packages can be retrieved from the following > locations: > > macOS: 10.14.6 PostgreSQL 11 & 12 (compiled with AppleClang 9.1.0.9020039) > > Package: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Darwin.dmg > PGP Signature: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Darwin.dmg.asc > SHA512 Hash: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Darwin.dmg.sha512 > > > CentOS 6.* GPDB 5.* & 6.*, PostgreSQL 11 & 12 (compiled with gcc 6.2.0) > > Package: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-CentOS6.rpm > PGP Signature: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-CentOS6.rpm.asc > SHA512 Hash: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-CentOS6.rpm.sha512 > > > CentOS 7.* GPDB 5.* & 6.*, PostgreSQL 11 & 12 (compiled with gcc 4.8.5) > > Package: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-CentOS7.rpm > PGP Signature: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-CentOS7.rpm.asc > SHA512 Hash: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-CentOS7.rpm.sha512 > > > Ubuntu 18.04 GPDB 6.*, PostgreSQL 11 & 12 (compiled with gcc 7.4.0) > > Package: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-Ubuntu18.deb > PGP Signature: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-Ubuntu18.deb.asc > SHA512 Hash: > https://dist.apache.org/repos/dist/dev/madlib/1.18.0.RC1/apache-madlib-1.18.0-bin-Linux-Ubuntu18.deb.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) > > Best regards, > Nikhil Kak <n...@apache.org> >
