Sprint on scikit-learn, in Paris and Austin
Read OriginalThis 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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