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Currently, within the incubator-mxnet repo there are over 800+ open issues and new ones being generated every day. We would like to be able to ease this process and better handle developers' issues. With the use of labelling, With a large influx of issues, many issues may go unlabelled and labelling them can be cumbersome. Labelling is important in that MXNet contributors can filter issues and offer their help on the issues for problems which our users face. As well, this can be useful to bring in new contributors. For example, a Scala expert may know how to handle an issue posted on the MXNet repo regarding the Scala API. They would be able to assess the issue we face on our repo and can easily become a contributor. Today, we employ the label bot to help ease the issue/pull request labelling process. Given the data of previously labelled issues and pull requests, an interesting use case opens up. Based upon this data, we can provide label predictions on new issues and pull requests. Overall we can provide a better experience to the community as we will able to address issues in a more efficient matter. 

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