GitHub Releases ML-Based “Good First Issues” Recommendations
Source:-infoq.com GitHub shipped an updated version of good first issues feature that uses a combination of both a machine learning (ML) model that identifies “easy” issues and a hand curated list of issues that have been labeled “easy” by project maintainers. New and seasoned open source contributors can use this feature to find and tackle easy issues in a project. In order to eliminate the challenging and tedious task of labelling and building a training set for a supervised ML
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