Resurrecting a Dead Library: Part Two - Stabilization
Read OriginalThis article details the process of stabilizing a legacy machine learning library by implementing continuous integration with Travis CI and creating automated end-to-end tests. It covers configuring Docker builds, setting up golden output comparisons, and preventing functionality regressions in an untested codebase.
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