Great work team. Thank you Orhan once again for volunteering to be the release manager.
On Fri, Apr 10, 2020 at 11:21 AM Frank McQuillan <fmcquil...@pivotal.io> wrote: > Thank you Orhan! > > > > On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <okis...@pivotal.io> wrote: > >> The Apache MADlib team is pleased to announce the immediate >> availability of the 1.17.0 release. >> >> The main goals of this release are: >> >> New features >> - DL: Add optional params to madlib_keras_fit_multiple_model >> (MADLIB-1397) >> - DL: Fit and evaluate changes for asymmetric cluster config >> (MADLIB-1393) >> - DL: Make param search fit() function work with existing evaluate and >> predict (MADLIB-1387) >> - DL: ParamSearch: Add utility function for generating model selection >> table (MADLIB-1375) >> - DL: Predict changes for asymmetric cluster config (MADLIB-1394) >> - DL: Preprocessor should evenly distribute data on an arbitrary >> number >> of segments (MADLIB-1378) >> - DL: Preprocessor support for asymmetric segment distribution >> (MADLIB-1392) >> - DL: Remove model_arch_table column from the output of >> load_model_selection_table (MADLIB-1381) >> - DL: Support DL predict without training on MADlib (MADLIB-1359) >> - DL: Transfer learning for multi-model (MADLIB-1389) >> - Kmeans: Add simple silhouette score for every point (MADLIB-1382) >> - Kmeans: Select number of centroids in k-means (MADLIB-1380) >> - PostgreSQL 12 support (MADLIB-1391) >> >> Improvements: >> - Assoc rules: Add option to set number of posterior in association >> rules (MADLIB-1327) >> - Correlation: Improve correlation and covariance memory usage with >> large number of groups (MADLIB-1301) >> - DL: helper function for asymmetric cluster config (MADLIB-1390) >> - DL: Mini-batch preprocessor for images - performance issue >> (MADLIB-1342) >> - DL: Modify warm start logic for DL to handle case of missing weight >> (MADLIB-1400) >> - DL: Param search for multiple models on MPP architecture >> (MADLIB-1386) >> - DL: performance improvements to fit transition function >> (MADLIB-1418) >> - Docs: Enhance Installation Guides (MADLIB-1399) >> - Graph: SSSP should not show vertices in output table that are >> unreachable (MADLIB-1415) >> - Knn - add zero check and output distance array (MADLIB-1370) >> - LDA: Add stopping criteria on perplexity to LDA (MADLIB-1351) >> - Summary: Last optional param in summary errors when NULL >> (MADLIB-1413) >> - Summary: Summary function has dups for MFV for approximate results >> (MADLIB-1412) >> - SVM: Change default num_components for SVM to max(100, >> 2*num_features) (MADLIB-1384) >> >> All release changes can be found here: >> >> https://cwiki.apache.org/confluence/display/MADLIB/MADlib+1.17.0 >> >> You can download the source release and convenience binary packages >> from Apache MADlib's download page here: >> >> http://madlib.apache.org/download.html >> >> Alternatively, you can download through an ASF mirror near you: >> >> https://www.apache.org/dyn/closer.lua/madlib/1.17.0 >> >> ---- >> >> Apache MADlib is an open-source library for scalable in-database >> analytics. It provides data-parallel implementations of mathematical, >> statistical and machine learning methods for structured and >> unstructured data. >> >> The MADlib mission: to foster widespread development of scalable >> analytic skills, by harnessing efforts from commercial practice, >> academic research, and open-source development. >> >> We welcome your help and feedback. For more information on how to >> report problems, and to get involved, visit the project website at >> https://madlib.apache.org >> >> ---- >> >> Thank you, everyone, who contributed to the 1.17.0 release. We look >> forward to continued community participation for the next release! >> >> Regards, >> Orhan Kislal >> > -- Thanks, Nikhil Kak
