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In order to improve the round-trip times as well as the user experience of filing Pull Requests against MXNet, this process could be monitored and assisted by a bot which takes care of finding appropriate reviewers, reminding them and also generating statistics to find areas of improvement. 

Link to dev List discussion

TODO

Feature Shepherd

TODO

Problem

The MXNet community faces a high round-trip due to the big volume of Pull Requests paired with the lack of reviewers. This creates frustration on the contributors' side since they get no or late feedback in a majority of the cases. The lack of reviewers is partially caused by the fact that people are not aware of Pull Requests that are in their area of expertise and non-committers unable to use the CODEOWNERS feature to be notified. Frequent reviewers on the other hand don't get rewarded or incentivised for their activity since there's no active metric that tracks these endeavours. 

Proposed Approach


MXNet Java Inference API#ProposedApproach

MXNet Java Inference API#ClassDiagram

MXNet Java Inference API#SequenceDiagram

UserExperience

Goals/Usecases

MXNet Java Inference API#Goals

Open Questions

Addition of New APIs

Backward compatibility

Performance Considerations

Test Plan

Alternative Approaches

MXNet Scala API Usability Improvement#AlternativeApproachconsidered

Technical Challenges 

MXNet Scala API Usability Improvement#TechnicalChallenges

Milestones

References

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