Congratulations! On Fri, Apr 10, 2020 at 11:26 AM Nikhil Kak <[email protected]> wrote:
> 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 <[email protected]> > wrote: > >> Thank you Orhan! >> >> >> >> On Fri, Apr 10, 2020 at 10:39 AM Orhan Kislal <[email protected]> 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 >
