[jira] [Commented] (MADLIB-1134) Neural Networks - MLP - Phase 2
[ https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16126051#comment-16126051 ] ASF GitHub Bot commented on MADLIB-1134: Github user asfgit closed the pull request at: https://github.com/apache/incubator-madlib/pull/162 > Neural Networks - MLP - Phase 2 > --- > > Key: MADLIB-1134 > URL: https://issues.apache.org/jira/browse/MADLIB-1134 > Project: Apache MADlib > Issue Type: Improvement > Components: Module: Neural Networks >Reporter: Frank McQuillan >Assignee: Cooper Sloan > Fix For: v1.12 > > > Follow on from https://issues.apache.org/jira/browse/MADLIB-413 > Story > As a MADlib developer, I want to get 2nd phase implementation of NN going > with training and prediction functions, so that I can use this to build to an > MVP version for GA. > Features to add: > * weights for inputs > * logic for n_tries > * normalize inputs > * L2 regularization > * learning rate policy > * warm start -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Commented] (MADLIB-1134) Neural Networks - MLP - Phase 2
[ https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16120655#comment-16120655 ] Cooper Sloan commented on MADLIB-1134: -- Very good article on regularization for NN: https://piazza-resources.s3.amazonaws.com/ieytirtomz425i/ifyrgs0anxs3d5/Oct19Lecture.pdf?AWSAccessKeyId=AKIAIEDNRLJ4AZKBW6HA&Expires=1502245062&Signature=6FGb4J8zhez0uQWsu4xtefaKlFU%3D > Neural Networks - MLP - Phase 2 > --- > > Key: MADLIB-1134 > URL: https://issues.apache.org/jira/browse/MADLIB-1134 > Project: Apache MADlib > Issue Type: Improvement > Components: Module: Neural Networks >Reporter: Frank McQuillan >Assignee: Cooper Sloan > Fix For: v1.12 > > > Follow on from https://issues.apache.org/jira/browse/MADLIB-413 > Story > As a MADlib developer, I want to get 2nd phase implementation of NN going > with training and prediction functions, so that I can use this to build to an > MVP version for GA. > Features to add: > * weights for inputs > * logic for n_tries > * normalize inputs > * L2 regularization > * learning rate policy > * warm start -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Commented] (MADLIB-1134) Neural Networks - MLP - Phase 2
[ https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16116970#comment-16116970 ] ASF GitHub Bot commented on MADLIB-1134: GitHub user cooper-sloan opened a pull request: https://github.com/apache/incubator-madlib/pull/162 MLP: Multilayer Perceptron Phase 2 JIRA: MADLIB-1134 Weights, warm start, n_tries, regularization, learning rate policy, standardization and tests. You can merge this pull request into a Git repository by running: $ git pull https://github.com/cooper-sloan/incubator-madlib mlp_phase2 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/incubator-madlib/pull/162.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 #162 commit 0d008d9995b1ffb5b35271318b878b396375456a Author: Cooper Sloan Date: 2017-06-17T00:41:07Z MLP: Multilayer Perceptron Phase 2 JIRA: MADLIB-1134 Weights, warm start, n_tries, regularization, learning rate policy, standardization and tests. > Neural Networks - MLP - Phase 2 > --- > > Key: MADLIB-1134 > URL: https://issues.apache.org/jira/browse/MADLIB-1134 > Project: Apache MADlib > Issue Type: Improvement > Components: Module: Neural Networks >Reporter: Frank McQuillan >Assignee: Cooper Sloan > Fix For: v1.12 > > > Follow on from https://issues.apache.org/jira/browse/MADLIB-413 > Story > As a MADlib developer, I want to get 2nd phase implementation of NN going > with training and prediction functions, so that I can use this to build to an > MVP version for GA. > Features to add: > * weights for inputs > * logic for n_tries > * normalize inputs > * L2 regularization > * learning rate policy > * warm start -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Commented] (MADLIB-1134) Neural Networks - MLP - Phase 2
[ https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16105853#comment-16105853 ] Frank McQuillan commented on MADLIB-1134: - That looks like a good model to check against. > Neural Networks - MLP - Phase 2 > --- > > Key: MADLIB-1134 > URL: https://issues.apache.org/jira/browse/MADLIB-1134 > Project: Apache MADlib > Issue Type: Improvement > Components: Module: Neural Networks >Reporter: Frank McQuillan >Assignee: Cooper Sloan > Fix For: v1.12 > > > Follow on from https://issues.apache.org/jira/browse/MADLIB-413 > Story > As a MADlib developer, I want to get 2nd phase implementation of NN going > with training and prediction functions, so that I can use this to build to an > MVP version for GA. > Features to add: > * weights for inputs > * logic for n_tries > * normalize inputs > * L2 regularization > * learning rate policy > * warm start -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Commented] (MADLIB-1134) Neural Networks - MLP - Phase 2
[ https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16105769#comment-16105769 ] Cooper Sloan commented on MADLIB-1134: -- Let's do something like [this](https://issues.apache.org/jira/browse/MADLIB-1134) for ensuring correctness of our backprop. > Neural Networks - MLP - Phase 2 > --- > > Key: MADLIB-1134 > URL: https://issues.apache.org/jira/browse/MADLIB-1134 > Project: Apache MADlib > Issue Type: Improvement > Components: Module: Neural Networks >Reporter: Frank McQuillan >Assignee: Cooper Sloan > Fix For: v1.12 > > > Follow on from https://issues.apache.org/jira/browse/MADLIB-413 > Story > As a MADlib developer, I want to get 2nd phase implementation of NN going > with training and prediction functions, so that I can use this to build to an > MVP version for GA. > Features to add: > * weights for inputs > * logic for n_tries > * normalize inputs > * L2 regularization > * learning rate policy > * warm start -- This message was sent by Atlassian JIRA (v6.4.14#64029)
[jira] [Commented] (MADLIB-1134) Neural Networks - MLP - Phase 2
[ https://issues.apache.org/jira/browse/MADLIB-1134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16103919#comment-16103919 ] Frank McQuillan commented on MADLIB-1134: - If we don't support grouping in phase 2 but leave it in the interface, please make it clear in the user docs that it is not supported yet and will come later. > Neural Networks - MLP - Phase 2 > --- > > Key: MADLIB-1134 > URL: https://issues.apache.org/jira/browse/MADLIB-1134 > Project: Apache MADlib > Issue Type: Improvement > Components: Module: Neural Networks >Reporter: Frank McQuillan >Assignee: Cooper Sloan > Fix For: v1.12 > > > Follow on from https://issues.apache.org/jira/browse/MADLIB-413 > Story > As a MADlib developer, I want to get 2nd phase implementation of NN going > with training and prediction functions, so that I can use this to build to an > MVP version for GA. > Features to add: > * weights for inputs > * logic for n_tries > * normalize inputs > * L2 regularization > * learning rate policy > * warm start -- This message was sent by Atlassian JIRA (v6.4.14#64029)