Shrinking gigabyte sized scikit-learn models for deployment
Jonas Haag, Pavel Zwerschke
We present an open source library to shrink pickled scikit-learn and lightgbm models. Together with a distroless Docker build we can reduce the deployment size of machine learning applications up to 3x.
Jonas Haag
Affiliation: QuantCo
Jonas Haag is a Data Engineer at QuantCo. He has a background in computer science and more than 10 years of experience with Python, particularly in web backend development and data engineering. In the past, he has co-founded a fintech startup and a software consultancy.
visit the speaker at: Github • Homepage
Pavel Zwerschke
Affiliation: QuantCo
Pavel is a data engineer at QuantCo who is currently studying Mathematics and Computer Science at KIT.
