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The following commit(s) were added to refs/heads/master by this push: new c6a5883 release notes for 1dot18dot0 c6a5883 is described below commit c6a5883e193a8f89d1b29dd0317f7976e7a969fa Author: Frank McQuillan <fmcquil...@pivotal.io> AuthorDate: Tue Mar 9 11:19:26 2021 -0800 release notes for 1dot18dot0 --- RELEASE_NOTES | 52 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/RELEASE_NOTES b/RELEASE_NOTES index 030d28c..918cdf4 100644 --- a/RELEASE_NOTES +++ b/RELEASE_NOTES @@ -10,6 +10,58 @@ commit history located at https://github.com/apache/madlib/commits/master. Current list of bugs and issues can be found at https://issues.apache.org/jira/browse/MADLIB. —------------------------------------------------------------------------- +MADlib v1.18.0: + +Release Date: 2021-Mar-16 + +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) + + +—------------------------------------------------------------------------- MADlib v1.17.0: Release Date: 2020-Mar-31