Gael Varoquaux • 8/1/2018

Sprint on scikit-learn, in Paris and Austin

This article details the outcomes of dual scikit-learn development sprints held in Austin and Paris. It summarizes key achievements like merging the OPTICS clustering algorithm, adding a Yeo-Johnson transform, improving Random Forest defaults, and enhancing cross-validation. The post also discusses the challenges of maintaining the library, including fixing mathematical errors, handling numerical instability, and updating documentation.

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#Python #Machine Learning #open source