Tracking the versions of various machine learning libraries used in a particular machine learning project is important. For example, this version tracking helps understand and quantify the associated model drift.
Described in this post is a simple Python script to track the versions of commonly used machine learning libraries.
This script outputs the version numbers using the __version__ attribute through the built-in getattr function in Python.
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