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Posted to commits@madlib.apache.org by fm...@apache.org on 2021/03/10 17:55:01 UTC

[madlib] branch master updated: release notes for 1dot18dot0

This is an automated email from the ASF dual-hosted git repository.

fmcquillan pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/madlib.git


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 <fm...@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