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ASF GitHub Bot commented on FLINK-1992: --------------------------------------- GitHub user thvasilo opened a pull request: https://github.com/apache/flink/pull/692 [WIP] [FLINK-1992] [ml] Add convergence criterion to SGD optimizer This a WIP PR in order to add convergence critertion to SGD. This will also allow us to replace the custom SGD used in Multiple Linear Regression (FLINK-1993) You can merge this pull request into a Git repository by running: $ git pull https://github.com/thvasilo/flink sgd-convegrence Alternatively you can review and apply these changes as the patch at: https://github.com/apache/flink/pull/692.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #692 ---- commit e0eb199009cdf602bf4c96fc6c37f70560594d81 Author: Theodore Vasiloudis <t...@sics.se> Date: 2015-05-13T15:29:31Z Some refactoring for better generalization commit c224cf9ecb35147175f3de4b188c03168f03fa1f Author: Theodore Vasiloudis <t...@sics.se> Date: 2015-05-15T20:11:48Z Optimization refactoring Removed runParameters, to avoid having to maintain two parameter maps. Added apply methods. Some renaming to avoid confusion between parameters and actual types. commit 25ae46bf7e0789d9f13479ef984c15d75526223a Author: Theodore Vasiloudis <t...@sics.se> Date: 2015-05-18T15:27:16Z Removed redundant arguments from LossFunction.lossAndGradient commit 1b81d8f16c1778c8950e72d8de0026eed6e085fd Author: Theodore Vasiloudis <t...@sics.se> Date: 2015-05-18T16:30:54Z Frist draft version of convergence ---- > Add convergence criterion to SGD optimizer > ------------------------------------------ > > Key: FLINK-1992 > URL: https://issues.apache.org/jira/browse/FLINK-1992 > Project: Flink > Issue Type: Improvement > Components: Machine Learning Library > Reporter: Till Rohrmann > Assignee: Theodore Vasiloudis > Labels: ML > > Currently, Flink's SGD optimizer runs for a fixed number of iterations. It > would be good to support a dynamic convergence criterion, too. -- This message was sent by Atlassian JIRA (v6.3.4#6332)