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The new glum release introduces a formula interface that simplifies preprocessing and offers various enhancements for categorical and mixed sparse and dense data.- Published on
Tired of writing complicated Polars expressions? polarIFy automatically translates your easy-to-read Python methods into efficient Polars expressions!- Published on
In this post we discuss how we improved the runtime performance of a text mining step in a machine learning pipeline by a factor of 12.- Published on
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.