Deploying stuff in a corporate environment can sometimes be challenging due to proxies or firewalls. This article describes how I deployed JetBrains Gateway in a corporate environment with no internet access.
We present an open source library to shrink pickled scikit-learn and lightgbm models. We will provide insights of how pickling ML models work and how to improve the disk representation. With this approach, we can reduce the deployment size of machine learning applications up to 6x.