CathyZhang0822 opened a new pull request #11935: [MXNET-691][WIP] Add LabelBot 
prediction module
URL: https://github.com/apache/incubator-mxnet/pull/11935
 
 
   ## Description ##
   This bot will send daily [GitHub 
issue](https://github.com/apache/incubator-mxnet/issues) reports with 
predictions of unlabeled issues.
   It contains 2 parts:
   * Machine Learning part:
     A web server built based on AWS Elastic Beanstalk which can response to 
GET/POST requests and realize self-maintenance. It mainly has 2 features:
     * Train models: it will retrain Machine Learning models every 24 hours 
automatically using latest data.
     * Predict labels: once it receives GET/POST requests with issues ID, it 
will send predictions back.
   * Send Daily Emails: 
     An AWS Lambda function which will be triggered everyday. Once this lambda 
function is executed, it will send POST requests to the Elastic Beanstalk web 
server asking predictions. Then it will general email content and send email.
   @Roshrini  @lanking520  @marcoabreu 
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [ ] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to 
the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) 
created (except PRs with tiny changes)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage:
   - Unit tests are added for small changes to verify correctness (e.g. adding 
a new operator)
   - Nightly tests are added for complicated/long-running ones (e.g. changing 
distributed kvstore)
   - Build tests will be added for build configuration changes (e.g. adding a 
new build option with NCCL)
   - [ ] Code is well-documented: 
   - For user-facing API changes, API doc string has been updated. 
   - For new C++ functions in header files, their functionalities and arguments 
are documented. 
   - For new examples, README.md is added to explain the what the example does, 
the source of the dataset, expected performance on test set and reference to 
the original paper if applicable
   - Check the API doc at 
http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
   - [ ] To the my best knowledge, examples are either not affected by this 
change, or have been fixed to be compatible with this change
   
   

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